Arab AI Governance & Society Lab

Governing Artificial
Intelligence
in the Arab World

This Lab studies AI governance and how AI reshapes regulation, ethics, culture, and public discourse across the Arab League member states, providing researchers and policymakers with evidence-based insights for the Arab world.

0
Arab States
0
Datasets
0
PDPL Enacted
0
Sovereign AI Systems
Human Identity Ethics & Meaning AI & Creativity Public Discourse fsQCA Methods Oxford Insights 2020–2025 EGDI 2018–2024 Harvard Dataverse ↗ Open Access ↗
Arab League · 22 States · Click any country
Advanced (3) Intermediate (3) Emerging (3) Minimal (4) Absent (9)
𝕏 in
0 standalone AI laws in Arab League states Saudi Arabia — GCI 99.54 · EGDI rank #6 globally Iraq: 679 AI publications (2023) · zero enacted data protection law Kuwait: $34,076 GDP/cap · 99.75% internet · zero AI regulations Lebanon Oxford score: 47.62 → 34.26 (−13.36 pts, largest MENA decline) Bahrain draft AI law (Apr 2024) — first in Arab world, awaiting parliament Egypt: largest non-GCC Oxford gain +6.41 pts (2023→2025) Harvard Dataverse: doi:10.7910/DVN/MOVIFA · Open Access 0 standalone AI laws in Arab League states Saudi Arabia — GCI 99.54 · EGDI rank #6 globally Iraq: 679 AI publications (2023) · zero enacted data protection law Kuwait: $34,076 GDP/cap · 99.75% internet · zero AI regulations
Prof. Anis Ben Brik
Anis Ben Brik
Principal Investigator
Principal Investigator & Founder · Arab AI Governance Lab

Anis Ben Brik

Associate Professor, Faculty of Communication, Culture and Society
Institute of Communication and Public Policy
Università della Svizzera italiana (USI), Switzerland
Visiting Professor · UC Berkeley

Anis Ben Brik's research sits at the intersection of AI governance, comparative public policy, and communication. He leads the first multi-method study of AI regulation across all Arab League member states. His work spans two major research streams:

Arab AI Governance

Cross-national mapping of AI strategies, regulatory frameworks, data protection laws, and governance trajectories across MENA — integrating 14 datasets, fsQCA configurational analysis, and a five-type governance typology.

AI & Society

Societal dimensions of artificial intelligence including design, use, management, and policy — with particular emphasis on cultural, social, cognitive, economic, ethical, and philosophical implications. How AI reshapes identities, institutions, and power structures in diverse societal contexts.

AI GovernanceMENA PoliticsAI & Society Digital PolicyfsQCACommunication Cultural AIEthics of AIUSI Switzerland
Nine Thematic Lenses

Analytical Dimensions of Arab AI Governance

Nine analytical dimensions of AI governance across the Arab world — from regulatory architecture and readiness to ethics, identity, and communication.

01
⚖️
Regulatory & Legal Frameworks
Five-tier maturity, PDPL analysis, enforcement models, international alignments — F1 full N=22
Explore →
02
📊
AI Readiness & EGDI
Oxford Insights 2020–2025 panel, EGDI biennial 2018–2024, pillar decomposition
Explore →
03
🔬
AI Research & Publications
OECD/Scopus panel 2020–2025 · research-governance gap · Iraq paradox
Explore →
04
🌐
Digital Infrastructure
Internet panel 2018–2023, mobile/broadband, cybersecurity indices
Explore →
05
🌺
AI, Culture & Communication
How AI reshapes human identity, creativity, meaning-making, public discourse, and cultural expression in the Arab world
Explore →
06
🗂️
Governance Typology
M3 cluster matrix — Gulf Innovation Leader, Sovereignty Pioneer, Post-Conflict Emerging
Explore →
07
🎓
Human Capital
EGDI HCI biennial 2018–2024, education trajectories, AI talent ecosystems
Explore →
08
🛡️
Cybersecurity
Four indices: ITU GCI, NCSI, DDL, CEI — vulnerability and capacity mapping
Explore →
09
🌍
Country Profiles
22-state deep-dive — full variable set, Oxford/EGDI trend, typology placement
Explore →
Key Dataset Findings
0
Standalone AI Laws

Bahrain's 38-article draft (Shura Council, Apr 2024) awaiting parliament — would be the first enacted AI law in the Arab world.

1,189
Peak AI Publications

Saudi Arabia 2023. Iraq 2nd at 679 pubs with zero enacted PDPL — the research-governance paradox.

0.9602
Highest EGDI 2024

Saudi Arabia (rank #6 globally, up from #52 in 2018). UAE 0.9533 (rank 11). Yemen 0.2318 (rank 185).

99.54
Top GCI Score

Saudi Arabia ITU Global Cybersecurity Index — globally top 5. Iraq GCI 20.71 despite 82% internet penetration.

3
Causal Pathways

fsQCA identifies three paths to AI governance: petro-fiscal surplus, institutional pioneer, research-led emergence.

Research Impact & Open Access
Open
Access Dataset
14 CSV files · CC BY 4.0
Harvard Dataverse
doi:10.7910/DVN/MOVIFA
3
Books Forthcoming
Oxford University Press
NYU Press
Edward Elgar (2024)
43
Interactive Figures
All data real · No synthetic values
Hover · Zoom · Filter · Download
4
Institutions
USI Switzerland · UC Berkeley
Jagiellonian University
Cornell University
🎯
Project & Aims
7 objectives · theoretical framework · configurational theory
🔧
Methodology
Star schema · fsQCA calibration · Harvard Dataverse dataset
📚
Publications
OUP · NYU Press · Edward Elgar · journal articles
👥
Research Team
USI · UC Berkeley · Jagiellonian · Cornell
Theme 01 — Regulatory & Legal Frameworks

Regulatory & Legal Frameworks

This section examines the formal architecture of AI governance across the Arab world — how states have chosen to regulate, encourage, or ignore artificial intelligence through law, policy, and institutional design. It maps the full spectrum from states with full AI ecosystems to those where no governance framework yet exists, illuminating the political, economic, and institutional drivers of regulatory divergence across Arab League members.

Key Finding

Zero standalone AI laws have been enacted across all Arab states. Bahrain's 38-article Draft AI Regulation Law (Shura Council approval April 2024, 7 chapters) awaits parliamentary ratification — if enacted, it would be the region's first dedicated AI legislation. All current frameworks rely on combinations of soft law, PDPL, sector-specific regulations, and existing cybercrime statutes as the backbone for AI governance.

The five-tier classification is constructed from cumulative binary indicators: AI strategy + dedicated body + enacted PDPL + risk classification + regulatory sandbox + regulation count. Kuwait represents the clearest anomaly: high-income GCC member (GDP/cap $34,076) with zero AI regulations, zero governance body, zero PDPL — the wealth-governance paradox crystallised.

01.1 — Governance Overview

Governance Indicators at a Glance

10
AI Strategies Adopted
9
Dedicated AI Bodies
9
PDPL Enacted
8
Risk Classification
5
Reg. Sandboxes
0
Standalone AI Laws
01.2 — Maturity Classification

Five-Tier Regulatory Maturity

Advanced
UAE · Saudi Arabia · Qatar
Full ecosystem: multiple binding instruments, PDPL with enforcement, dedicated PM-level or federal AI body, risk classification, regulatory sandboxes. Sovereign LLM programmes. UAE: 8 AI regulations, 5 governance bodies. Saudi Arabia: 11 regulations, 6 bodies, 64 OECD.AI initiatives.
Intermediate
Bahrain · Egypt · Tunisia
Enacted PDPL with enforcement, national AI strategy (2nd generation for Egypt/Tunisia), dedicated AI body. Bahrain's draft law would elevate to Advanced. Egypt's NAS 2025–2030 is the most ambitious non-GCC plan with 6 pillars and sovereign Arabic LLM target.
Emerging
Oman · Morocco · Iraq
AI strategy adopted or in development, partial PDPL. Iraq is the research-governance paradox: PM Supreme Committee (Aug 2024), 679 AI pubs (2023, 2nd in dataset), but no data protection law enacted. Oman National Programme approved by Council of Ministers Sep 2024.
Minimal
Kuwait · Algeria · Jordan · Mauritania
Limited formal AI governance. Kuwait: $34,076 GDP/cap, 99.75% internet, but zero AI regulations — the starkest wealth-governance gap. Algeria: 178 AI publications (2023) with no governance framework.
Absent
Libya · Lebanon · Palestine · Syria · Yemen · Sudan · Djibouti · Somalia · Comoros
No AI governance framework. Structural barriers: conflict (Yemen, Sudan, Syria, Somalia), economic collapse (Lebanon), occupation constraints (Palestine), dual-government paralysis (Libya), small island state constraints (Comoros, Djibouti).
Fig. 01
Maturity Distribution (N=22)
Donut chart — hover for counts and percentages
Source: F1_Country_Cross_Section · regulatory_maturity_tier
Fig. 02
Governance Capability Count
Number of states with each indicator present (N=22)
Source: F1_Country_Cross_Section · binary indicators
Fig. 03
AI Regulation Count by Country
Saudi Arabia leads (11), UAE and Qatar tied (8). 12 states have zero identifiable AI-relevant regulations. Colour = maturity tier.
Source: F1_Country_Cross_Section (n_ai_regulations); Regulations.AI country pages
Fig. 04
Governance Bodies per Country
F1: n_governance_bodies. UAE 5, Saudi Arabia 6. 14 states: zero dedicated AI governance institutions.
Source: F1_Country_Cross_Section (n_governance_bodies)
Fig. 05
International Alignment Score (0–4)
F1: n_intl_alignments. OECD+UNESCO+EU AI Act+GCC Ethics+Bletchley. UAE and Egypt lead (4 each).
Source: F1_Country_Cross_Section (oecd_ai_adherent + unesco_ai_referenced + eu_ai_act_influenced + gcc_ethics_manual + bletchley_signatory)
Fig. 06
OECD.AI Registered Initiatives Count
F1: oecd_ai_initiatives_count. Saudi Arabia 64 — dominates region. UAE 8, Egypt 8, Tunisia 7.
Source: F1_Country_Cross_Section (oecd_ai_initiatives_count); OECD.AI Policy Observatory full inventory
01.3 — Full Regulatory Table (N=22)

All Indicators: Complete Dataset

ISOCountryTierStratGenBodyPM-lvlAI LawDraftRiskSandboxLLMPDPLYrGDPRRegs#Bodies#Intl#OECD init
AREUAEAdvanced2nd20218548
SAUSaudi ArabiaAdvanced2nd2021116364
QATQatarAdvanced1st20168430
BHRBahrainIntermediate1st20184310
EGYEgyptIntermediate2nd20205448
TUNTunisiaIntermediate2nd20046337
OMNOmanEmerging1st20210110
MARMoroccoEmerging1st20095233
IRQIraqEmerging1st6310
KWTKuwaitMinimal0010
DZAAlgeriaMinimal0001
JORJordanMinimalDraft0000
MRTMauritaniaMinimal1st0000
LBYLibyaAbsent0000
LBNLebanonAbsent0000
PSEPalestineAbsent0000
SYRSyriaAbsent0000
YEMYemenAbsent0000
SDNSudanAbsent0000
Theme 02 — AI Readiness & Digital Governance

AI Readiness & Digital Governance

This section asks how ready Arab states actually are to govern AI — and how that readiness has changed over time. It examines the multi-dimensional composite of government capability, technology sector maturity, and digital infrastructure that determines whether a state can design, implement, and enforce AI policy. Dramatic divergences between rapidly improving Gulf states and declining or stagnating Levant economies reveal how political stability, economic capacity, and institutional investment shape governance trajectories.

Key Findings

Saudi Arabia registers the most dramatic digital governance transformation in the region — rising from rank 52 to rank 6 globally on the UN e-Government index between 2018 and 2024, driven by sustained strategic investment in digital infrastructure and institutional capacity. Lebanon shows the starkest decline in AI readiness, with its composite score falling over 13 points as economic and political collapse eroded the institutional foundations of governance. Egypt demonstrates that non-GCC states can achieve sustained readiness improvements through deliberate national strategy and international engagement, even with severely constrained economic resources.

02.1 — Oxford Panel 2020–2025

Government AI Readiness Trends

Fig. 07
Oxford AI Readiness — GCC States 2020–2025
UAE, Saudi Arabia, Qatar, Bahrain, Kuwait, Oman. All 6 years. Toggle lines in legend. Source: F5_Oxford_AI_Readiness.
Source: F5_Oxford_AI_Readiness (Oxford Insights CC BY-SA 4.0); real values from dataset
Fig. 08
Oxford AI Readiness — MENA/Levant States 2020–2025
Egypt, Morocco, Tunisia, Algeria, Jordan, Lebanon, Iraq. Lebanon sharp decline from 2023. Toggle in legend.
Source: F5_Oxford_AI_Readiness; real values — Lebanon decline reflects economic/institutional collapse
02.2 — Oxford Pillar Decomposition

Government vs Technology vs Data & Infrastructure Pillars

Fig. 09
Oxford Pillar Scores 2025 — All Three Pillars by Country
Grouped bar. Toggle pillars. Saudi Arabia dominates Data pillar (93.21). Egypt Government pillar = 100.0 is remapping artefact. Morocco leads on Data vs Government gap.
Source: F5_Oxford_AI_Readiness (pillar_government, pillar_tech_sector, pillar_data_infra); 2025 edition — pillar methodology revised
Fig. 10
Oxford Score Change 2023 → 2025
Positive = improvement, negative = decline. Egypt largest gain (+6.41). Lebanon largest decline (−13.36).
Source: F5_Oxford_AI_Readiness; F1 (oxford_ai_2023, oxford_ai_2025)
Fig. 11
Oxford Score 2020 → 2025 Absolute Change
Full 5-year trajectory. Jordan +14.31. Saudi Arabia +15.34. Yemen −4.59.
Source: F5_Oxford_AI_Readiness; computed 2025 minus 2020 overall_score
02.3 — EGDI Longitudinal 2018–2024

E-Government Development Index Panel

Fig. 12
EGDI Score Trajectories 2018–2024 — Selected States
Biennial data from F6_EGDI_Panel. Saudi Arabia rank jump from 52 to 6. Toggle lines. UAE, SAU, BHR, OMN, QAT, EGY, JOR, TUN, DZA, IRQ, YEM.
Source: F6_EGDI_Panel (UN DESA biennial 2018, 2020, 2022, 2024)
Fig. 13
EGDI 2024 — Composite & Sub-Indices (OSI, HCI, TII)
Radar/grouped comparison for top 8 states. Saudi Arabia ranks 6th globally. Select state from dropdown.
Source: F6_EGDI_Panel (osi, hci, tii, eparticipation) 2024
Fig. 14
EGDI Rank Change 2018 → 2024
Positive = rank improvement (smaller number = better). Saudi Arabia: +46 ranks. Bahrain: +8. Iraq: +7.
Source: F6_EGDI_Panel (egdi_rank 2018 vs 2024); negative = rank worsened
02.4 — Cross-Section Comparison Table

Oxford 2023 & 2025 + EGDI 2024 — All States

ISOCountryTierOxford 2020Oxford 2023Oxford 2025Δ 23→25Δ 20→25EGDI 2018EGDI 2024EGDI Rank 18EGDI Rank 24
AREUAEAdv72.4070.4269.86−0.56−2.540.82950.95332111
SAUSaudi ArabiaAdv56.2367.0471.57+4.53+15.340.71190.9602526
QATQatarAdv56.7863.5958.61−4.98+1.830.71320.82445153
BHRBahrainInt54.7556.1359.57+3.44+4.820.81160.91962618
KWTKuwaitMin50.6149.8643.79−6.07−6.820.73880.78124166
OMNOmanEmg50.7858.9456.73−2.21+5.950.68460.85766341
EGYEgyptInt49.1952.6959.10+6.41+9.910.48800.669911495
MARMoroccoEmg36.4243.3443.06−0.28+6.640.52140.684111090
TUNTunisiaInt44.3946.0742.23−3.84−2.160.62540.69358087
DZAAlgeriaMin33.4735.9942.05+6.06+8.580.42270.5956130116
JORJordanMin41.7656.8556.07−0.78+14.310.55750.68499889
LBNLebanonAbs35.9147.6234.26−13.36−1.650.55300.544999126
IRQIraqEmg33.8833.4029.37−4.03−4.510.33760.4572155148
LBYLibyaAbs28.84*25.3128.38+3.07−0.460.38330.5466140125
SYRSyriaAbs19.3318.1221.72+3.60+2.390.34590.3888152162
YEMYemenAbs19.0719.8914.48−5.41−4.590.21540.2318186185
SDNSudanAbs26.3518.2616.21−2.05−10.14
MRTMauritaniaMin29.4227.0927.58+0.49−1.84
PSEPalestineAbs33.1435.54+2.40
* Libya 2020 value used for 2020 entry. Sources: F5_Oxford_AI_Readiness (all years, real values); F6_EGDI_Panel (egdi_score, egdi_rank 2018 and 2024); Oxford Insights CC BY-SA 4.0; UN DESA
Theme 03 — AI Research & Publications

AI Research & Publications

This section investigates the relationship between scientific knowledge production and governance capacity. Does a country that produces significant AI research translate that intellectual capital into effective regulation? The Arab world presents a striking paradox: several states generate substantial AI research output while their governance frameworks remain embryonic. This governance-research gap reveals that knowledge production and institutional capacity do not necessarily evolve together, challenging assumptions that underpin AI readiness rankings.

The Research-Governance Gap

Iraq is the region's most striking governance paradox: among the highest producers of AI research in the Arab world, yet operating without a data protection law, without AI-specific legislation, and with cybersecurity scores among the lowest in the region. Algeria and Jordan present analogous patterns — substantial research communities operating entirely without governance infrastructure. These cases directly challenge the assumption that scientific capacity naturally produces regulatory capacity. The configurational analysis in Theme 05 shows that research output can partially substitute for economic resources in generating governance outcomes, but only when combined with institutional infrastructure — which none of these states currently possesses at the required level.

03.1 — Publication Panel

AI Publications 2020–2025

Fig. 15
AI Publication Trends 2020–2025 — Top States
OECD.AI/Scopus fractional counts from F2. Toggle countries. 2024/2025 values lower due to indexing lag. Saudi Arabia peak 1,189 (2023).
Source: F2_Country_Year_Panel (ai_pubs, source_pubs: OECD.AI/Scopus); fractional counting method
Fig. 16
2023 Publication Rankings — All Countries with Data
Peak year for most countries. Iraq 2nd (679) — the governance-research paradox.
Source: F2_Country_Year_Panel; F1 (ai_pubs_2023) where F2 missing
Fig. 17
Research-Governance Gap Bubble Plot
X = Regulatory Tier (1=Absent → 5=Advanced), Y = AI Publications 2023, Size = publication volume. Top-left = critical gap.
Source: F1 (regulatory_maturity_tier), F2 (ai_pubs 2023); Iraq critical outlier
Fig. 18
R&D Expenditure % GDP
UAE 1.49%, Egypt 1.03%, Tunisia 0.75%. Iraq 0.04% despite 679 publications — entirely imported knowledge production.
Source: F3_WDI_Panel (rd_expenditure_gdp_pct, 2023 or latest available year)
03.2 — Full Publication Table

AI Publications by Country and Year

ISOCountryTier20202021202220232024*R&D %GDPOxford 2023Gap Score
SAUSaudi ArabiaAdvanced6857938291,1897270.56%67.04Aligned
IRQIraqEmerging4325596436794480.04%33.40Critical Gap
EGYEgyptIntermediate4705216176693931.03%52.69Moderate
TUNTunisiaIntermediate3202683693572130.75%46.07Moderate
JORJordanMinimal24226329328121856.85Gap
MARMoroccoEmerging16218420223414443.34Moderate
DZAAlgeriaMinimal10714115417812835.99Gap
QATQatarAdvanced11111995126670.68%63.59Aligned
AREUAEAdvanced1.49%70.42Aligned
OMNOmanEmerging48526059610.37%58.94Moderate
LBNLebanonAbsent292728241847.62Collapse
LBYLibyaAbsent224430283525.31Conflict
KWTKuwaitMinimal2224311690.10%49.86Wealth Gap
SDNSudanAbsent18302320718.26Conflict
SYRSyriaAbsent27202417818.12Conflict
BHRBahrainIntermediate151930251656.13Aligned
PSEPalestineAbsent51163433.14Occupation
MRTMauritaniaMinimal110.01%27.09Peripheral
YEMYemenAbsent19.89Conflict
* 2024 lower due to Scopus indexing lag — not a real decline. Source: F2_Country_Year_Panel (OECD.AI/Scopus fractional counts); F3_WDI_Panel (rd_expenditure_gdp_pct)
Theme 04 — Digital Infrastructure

Digital Infrastructure

Digital infrastructure is both a precondition for AI deployment and a dimension of governance capacity. This section maps the connectivity landscape across the Arab world — how extensively populations are connected, through what technologies, and whether infrastructure development translates into the institutional capacity needed to govern AI systems. Infrastructure paradoxes abound: states where near-universal mobile connectivity coexists with absent governance frameworks, and others where impressive telecom scores mask fragile institutional architectures.

Infrastructure Paradoxes

Three infrastructure paradoxes define the Arab digital landscape. The Kuwait mobile-only paradox: among the most connected populations on earth by mobile penetration, yet with almost no fixed broadband infrastructure — an architecture uniquely vulnerable to disruption and wholly reliant on wireless networks. The Iraq infrastructure surge: internet penetration nearly tripled in five years, the fastest non-GCC growth in the region, while institutional governance capacity remained nearly static — rapid connectivity without the governance frameworks to manage its consequences. The Libya infrastructure anomaly: world-class telecom infrastructure scores sitting alongside absent state capacity — physical networks built by oil revenues but entirely disconnected from the institutions needed to govern the digital economy they enable.

04.1 — Internet Penetration Panel

Internet Users % of Population — 2018–2023

Fig. 19
Internet Penetration Trends 2018–2023 — All States
From F3_WDI_Panel (internet_users_pct). Iraq most dramatic non-GCC growth. Toggle countries in legend.
Source: F3_WDI_Panel (IT.NET.USER.ZS World Bank, 2018–2023)
Fig. 20
2023 Internet Penetration — All States
UAE/Saudi Arabia/Bahrain at 100%. Yemen/Sudan/Somalia near zero. Kuwait 99.75%.
Source: F3_WDI_Panel 2023 (or latest available)
Fig. 21
Mobile vs Fixed Broadband per 100 (2023)
Kuwait anomaly: 167.68 mobile, 1.01 broadband. Saudi Arabia: 157.78 mobile, 43.57 broadband.
Source: F3_WDI_Panel (mobile_subs_per100, broadband_subs_per100, 2023)
04.2 — EGDI TII Sub-Index

Telecom Infrastructure Index 2018→2024 Change

Fig. 22
EGDI TII (Telecom Infrastructure Index) 2018 vs 2024
Grouped comparison. Kuwait TII 2024 = 0.9988. Libya TII 2024 = 0.9639 — infrastructure paradox vs. governance absent.
Source: F6_EGDI_Panel (tii sub-index, 2018 and 2024)
04.3 — Infrastructure Table (F3 + F6)

Complete Connectivity Dataset — 2023 Cross-Section

ISOCountryInternet 2023%Mobile/100 2023Broadband/100 2023Mobile/Broadband ratioEGDI TII 2024Internet Growth 18→23
AREUAE100.0%199.4237.105.4×1.000+1.55pp
SAUSaudi Arabia100.0%157.7843.573.6×0.984+6.69pp
QATQatar99.65%157.8211.6413.6×0.9960.00
BHRBahrain100.0%153.9017.169.0×0.988+1.36pp
KWTKuwait99.75%167.681.01166×0.999+0.15pp
OMNOman95.25%135.2210.8812.4×0.967+9.75pp
MARMorocco91.0%148.167.0221.1×0.883+26.2pp
JORJordan92.53%67.557.049.6×0.650+27.3pp
EGYEgypt72.69%92.8310.868.5×0.695+25.8pp
TUNTunisia72.35%134.1414.149.5×0.836+8.16pp
DZAAlgeria76.91%111.6112.019.3×0.813+27.9pp
IRQIraq81.73%101.3917.235.9×0.687+47.8pp
LBNLebanon83.49%73.93*0.643+2.59pp
LBYLibya88.50%192.97*0.964
PSEPalestine86.64%76.698.379.2×+22.2pp
SYRSyria72.446.860.443
SDNSudan+1.84pp*
MRTMauritania37.38%90.770.59154×+14.4pp
YEMYemen50.890.291
Source: F3_WDI_Panel (internet_users_pct, mobile_subs_per100, broadband_subs_per100 — World Bank WDI 2023); F6_EGDI_Panel (tii, 2024); * = 2022 value used as most recent available
Theme 05 — AI, Culture & Communication

AI, Culture &
Communication

AI raises profound questions about human identity, creativity, ethics, and meaning — while simultaneously reshaping how information flows, how narratives form, and how publics are constituted. This section examines AI through two complementary lenses: as a force transforming cultural expression, language, and what it means to be human in the Arab world; and as a medium and actor in communication, shaping discourse, mediating interaction, and influencing collective understanding across 22 states.

Two Lenses, One Question: Whose AI?

The humanities and communication sciences converge on a single underlying question: whose values, narratives, languages, and power structures are being encoded into AI systems, and who bears the consequences? In the Arab world, this question has particular urgency. Arabic is the fifth most spoken language globally yet among the most underrepresented in AI training data. Governance frameworks embed ethics from IEEE, OECD, and EU documents — frameworks designed for liberal democratic contexts with strong civil society. And AI is deployed as a communication infrastructure by states whose relationship to public discourse, press freedom, and political speech is fundamentally different from the contexts in which those systems were designed.

The data reveal a stark division: five states (UAE, Saudi Arabia, Qatar, Egypt, Tunisia) are actively building sovereign Arabic AI capabilities — large language models, domain-specific systems, cultural content infrastructure. The remaining 17 states are entirely passive, consuming AI systems designed elsewhere, encoding other languages, embedding other values.

05.1 — AI & Human Identity

AI, Language, and Arabic Cultural Identity

Language is not merely a communication tool — it is the carrier of cultural memory, philosophical tradition, and social identity. When AI systems speak Arabic, translate Arabic, generate Arabic text, or make decisions affecting Arabic speakers, the question of how they represent that language becomes a question of cultural recognition and political power.

UAE · Falcon / Jais / MBZUAI
Cosmopolitan AI Identity

UAE frames AI as post-national and cosmopolitan. Falcon LLM released open-weights, trained on multilingual corpora. Jais (G42/MBZUAI) positions Arabic as one among many languages — not a cultural container but a technical parameter. Sovereignty posture: Active · International alignment: Western multilateral. Bletchley signatory. UNESCO referenced. EU AI Act-influenced. The UAE's governance philosophy — soft law, experimental legislation, pro-innovation — maps directly onto its identity politics: minimal cultural friction for maximum capital accumulation.

Saudi Arabia · ALAN / HUMAIN
AI as National Renewal

Saudi Arabia pursues the most aggressive AI sovereignty strategy in the Arab world. ALAN sovereign LLM, HUMAIN $100B AI ecosystem, data embassy model. Sovereignty posture: Aggressive. Vision 2030 explicitly frames AI as intrinsic to cultural and national renewal — Arabic language preservation, Islamic values alignment, and Saudi cultural content embedded in training data. The data protection law (PDPL 2021) and 4-tier risk classification system (mirroring EU AI Act) create a framework designed to retain data within Saudi borders while projecting cultural influence outward.

Egypt · National Arabic LLM
Pan-Arab Cultural Leadership

Egypt — the Arab world's largest population and its historic cultural centre — frames its National AI Strategy 2025–2030 as a pan-Arab cultural infrastructure project. Sovereignty posture: Active. First Arab and African state to join OECD.AI (2021). Domain-specific LLMs for healthcare, legal (Islamic jurisprudence), and agriculture encode culturally contextualised AI — not universal systems but Arabic-grounded ones. UNESCO and EU AI Act referenced. The Human-Centred Design principle in the strategy explicitly invokes Egyptian societal values as a design constraint.

Qatar · Fanar · AI+X Paradigm
Contextual Ethics vs. Universal Models

Qatar's Fanar project (national Arabic LLM) and its AI+X paradigm represent the most explicit rejection of universal AI ethics in the dataset. AI+X insists that AI must be adapted to each sectoral and cultural context — what governance means in Islamic finance differs from what it means in healthcare or creative industries. Sovereignty posture: Moderate. The QCB's binding AI framework for financial services creates a parallel governance track: rigorous where cultural and economic stakes are highest, permissive elsewhere. The PDPPL's heightened protection for children, health, ethnicity, and religious data reflects an Islamic privacy ethics that partially aligns with GDPR but emerges from different philosophical foundations.

Tunisia · Decree-Law 2022-54
AI Governance as Political Control

Tunisia presents AI governance's dark mirror. Its PDPL (2004, oldest in the Arab world) and EU GDPR-influenced framework represent genuine rights architecture. But Decree-Law 2022-54 — imposing criminal penalties for "false news via automated systems" — deploys AI governance as a tool of political censorship, criminalising algorithmic content that challenges official narratives. Tunisia's regulatory framework embodies its contested identity: democratic aspiration and authoritarian consolidation coexisting in the same legal document. EU alignment sought but democratic backsliding simultaneously enacted.

Fig. 23
Sovereign AI Capacity — Who Builds Arabic AI?
5 states actively building sovereign language AI (has_sovereign_llm=1): UAE, Saudi Arabia, Qatar, Egypt, Tunisia. 17 states entirely passive — consuming AI built elsewhere, in other languages, embedding other values. Hover for details.
Source: F1 (has_sovereign_llm, ai_sovereignty_posture from M3, n_intl_alignments); D1_Regulatory_Profiles
Fig. 24
International Ethics Alignment — Whose Standards?
Which external ethics frameworks do Arab states reference? OECD.AI (1 state), UNESCO AI Ethics (7), EU AI Act-influenced (7), GCC Ethics Manual (3), Bletchley Declaration (1). Most states: none.
Source: F1 (oecd_ai_adherent, unesco_ai_referenced, eu_ai_act_influenced, gcc_ethics_manual, bletchley_signatory)
Fig. 25
Data Protection as Rights Architecture
Fuzzy data protection score (0=absent, 1=comprehensive rights framework). Palestine 0.05 — 87% internet penetration, zero protection. Structural digital exclusion.
Source: C1 (COND_data_protection); F1 (has_pdpl_enacted, pdpl_gdpr_aligned, has_dpia_requirement, has_data_localization)
05.2 — AI as Communication Medium

AI, Discourse, and Information Control

AI functions as a medium — shaping what information reaches people, how it is framed, who can speak and who is silenced. In the Arab world, where press freedom is constrained across most states, AI-driven communication systems carry particular political weight: recommendation algorithms, content moderation systems, and generative AI tools are deployed in contexts where the boundaries between governance and control are deliberately blurred.

Disinformation & Narrative Control
AI as Governance Tool for Information

Iraq's regulatory philosophy explicitly frames AI risk around "extremist exploitation prevention" and disinformation — positioning AI governance as information security rather than rights protection. Tunisia's Decree-Law 2022-54 criminalises "false news via automated systems." Saudi Arabia's data classification (Public/Internal/Restricted/Confidential) creates a sovereignty architecture that controls information flow as a dimension of national security. These frameworks blur the line between moderating harmful content and controlling political speech.

Chatbots, Recommendation & Mediation
AI-Mediated Human Interaction

Regulatory sandboxes in UAE, Saudi Arabia, Qatar, and Bahrain are concentrated in financial services and healthcare — but not communication or media. This absence is significant: AI systems mediating public discourse (recommendation algorithms, chatbots, social media moderation) operate largely outside the regulatory frameworks that govern higher-profile sectors. The governance gap is widest precisely where AI's communicative influence is most pervasive.

Public Opinion & Algorithmic Framing
Who Shapes the Arab Digital Public Sphere?

The five states building sovereign AI capabilities (UAE, Saudi Arabia, Qatar, Egypt, Tunisia) are also those with the most developed strategies for shaping their digital public spheres. Sovereign LLMs trained on nationally curated corpora encode particular framings of history, religion, and political life. The remaining 17 states — without sovereign AI capacity and with minimal governance frameworks — have their digital public spheres shaped entirely by foreign platforms, foreign algorithms, and foreign editorial judgements.

Fig. 26
Communication Governance Gap: ICT Investment vs. AI Regulatory Presence
States investing in ICT infrastructure (% GDP) without corresponding AI communication governance. Countries with high ICT investment but absent communication AI regulation — the governance gap in the communication sector. Bubble size = internet penetration.
Source: F1 (ict_invest_gdp_pct, internet_penetration_pct, n_ai_regulations, has_regulatory_sandbox); real values
Fig. 27
AI Risk Classification Coverage
States with formal risk classification systems — the foundational requirement for governing AI in communication and media contexts. Only 8 of 22 states have one. The majority deploy AI in communication contexts without any risk framework.
Source: F1 (has_risk_classification, has_ai_specific_penalties, n_enforcement_bodies)
05.3 — Ethics, Creativity, and What it Means to be Human

AI, Creativity, and the Human Question

The GCC Ethics Manual: Regional Values or Western Transplant?

The GCC AI Ethics Manual (2020) — the primary regional ethics framework, referenced by Bahrain, Kuwait, and Oman — draws extensively on IEEE, OECD, and EU principles designed for liberal democratic contexts with strong civil society oversight. Three states reference GCC ethics alignment in their governance frameworks. Yet the Manual's adoption was top-down, without civil society consultation, and the foundational assumptions — individual rights as the primary unit of ethical analysis, transparency as a civic entitlement, accountability to a neutral legal system — map imperfectly onto Gulf political structures, Islamic jurisprudence, and tribal-familial social organisation.

A more contextually grounded ethics might draw on maqāṣid al-sharīʿa — the Islamic jurisprudential framework of objectives: preservation of life, intellect, lineage, wealth, and religion. These provide resources for AI ethics that Western bioethics cannot readily supply: a language of communal obligation, of intergenerational responsibility, of the relationship between knowledge and accountability that does not reduce to individual consent and data rights. Qatar's AI+X paradigm gestures toward this — but no Arab state has yet articulated a fully indigenous AI ethics framework grounded in the region's own philosophical traditions.

Open Research Questions
When Gulf states build Arabic LLMs trained on nationally curated corpora, are they preserving cultural heritage — or encoding the dialect, the values, and the political framings of ruling elites into a permanent infrastructure that will outlast the current political moment?
AI-generated poetry, music, and visual art are proliferating across the Arab world's digital platforms. What does AI creativity mean for the human artists whose work trained those models — and for the question of whether AI "understands" the cultural context it generates?
In conflict zones — Gaza, Yemen, Sudan, Syria — AI-driven content moderation on global platforms makes life-and-death decisions about what documentation of violence reaches the world. Who is accountable for those decisions, and by what ethical standard?
Accountability Dispersal Thesis

Ben Brik's accountability dispersal thesis (forthcoming, Oxford University Press) argues that algorithmic governance in MENA concentrates coercive capacity while dispersing accountability — creating state power simultaneously more capable and less responsible than any previous modality. In communication terms: AI systems can monitor, filter, amplify, and suppress speech at scale, but the question of who is responsible for those effects is dispersed across algorithms, foreign vendors, national security statutes, and regulatory lacunae.

Where accountability is most dispersed — Libya, Yemen, Syria, Palestine — AI communication systems operate in a complete governance vacuum. Where it is most concentrated — UAE, Saudi Arabia — formal mechanisms exist but oversight remains captured by the state apparatus whose communication practices those mechanisms are meant to govern.

Theme 06 — Governance Typology

Governance Typology

Beyond statistical indices lies the question of how AI governance is actually organised as a political and institutional practice. This section classifies Arab states into distinct governance archetypes — examining the structure of authority, the philosophy of regulation, the mechanisms of enforcement, and the stance each state takes toward AI as a sovereign, national, or technocratic project. Eight clusters emerge, from Gulf innovation leaders pursuing aggressive AI sovereignty strategies to fragmented states where governance has collapsed entirely.

06.1 — Cluster Overview

Eight Governance Clusters

Cluster 1 · GCC
Gulf Innovation Leader
ARE
Centralized-Federal governance. Soft law + experimental legislation (Decree-Law 25/2018 Legislation Lab). Indirect enforcement via procurement. Active sovereignty: Falcon/Jais LLMs, MBZUAI, G42. Western-aligned multilateral. Most permissive regulatory environment in dataset.
Cluster 2 · GCC
Gulf Sovereignty Pioneer
SAU
Centralized PM-level (SDAIA). Hybrid hard law + soft guidelines. 4-tier risk classification. Direct enforcement: PDPL fines up to $1.3M. Aggressive sovereignty: ALAN LLM, HUMAIN fund, data embassies. Selective multilateral + bilateral strategy.
Cluster 3 · GCC
Gulf Sectoral Regulator
QAT
Centralized PM-level. Horizontal ethics + binding finance (QCB mandatory AI approval for High-Risk). Sectoral enforcement. Moderate sovereignty: Fanar LLM, QIA AI investments. Regional-focused: GCC + DCO frameworks. AI+X paradigm.
Cluster 4 · GCC
Gulf Early Legislator
BHR
Ministerial governance. Licensing-based with proposed AI law (38 articles, 7 chapters — awaiting parliament). Human oversight mandate. Proposed penalties: 3yr imprisonment, BD20k fines. Closest to standalone AI legislation of any Arab state.
Cluster 5 · GCC
Gulf Governance Absent
KWT
No governance type. No regulatory approach. $34,076 GDP/cap. 99.75% internet. Zero AI regulations, zero governance body. The wealth-governance paradox crystallised. Governance type: None. Cluster: Gulf Governance Absent.
Cluster 6 · N.Africa / Levant
MENA Institutional Leader
EGY · TUN · MAR
Egypt: Centralized-Ministerial, phased soft-to-hard. TUN: PM-council, hard law + sandboxes. MAR: Multi-stakeholder, horizontal framework. All three: OECD.AI adherent or referenced. High data protection fuzzy scores (0.80–0.85) without high economic resources.
Cluster 7 · Levant
Post-Conflict Emerging
IRQ
Centralized PM-level (Supreme Committee Aug 2024). Agile governance model (UNDP). Sectoral sandbox (CBI fintech). 679 AI publications 2023 (2nd in dataset). Research-governance gap: high research output, low governance quality (fsQCA OUT=0.45). Post-conflict state rebuilding AI capacity.
Clusters 8–10 · Multiple
Conflict-Affected & Peripheral Absent
LBY · LBN · PSE · SYR · YEM · SDN · DJI · SOM · COM · MRT · OMN · JOR · DZA
Governance type: None (13 states). Structural barriers vary: active conflict (SYR, YEM, SDN, SOM), economic collapse (LBN), occupation (PSE), dual-government (LBY), geographic peripherality (DJI, COM), resource-poor without institutional impetus (MRT, DZA, JOR).
Fig. 28
Cluster Distribution (N=22)
Governance cluster from M3_Typology_Matrix. Absent/Minimal = 13 states (59%).
Source: M3_Typology_Matrix (cluster_label)
Fig. 29
AI Sovereignty Posture
From M3 (ai_sovereignty_posture). Aggressive = SAU data embassies + ALAN + HUMAIN. Active = ARE/EGY/IRQ.
Source: M3_Typology_Matrix (ai_sovereignty_posture)
Fig. 30
Governance Type × Regulatory Approach × Enforcement (Bubble Plot)
Size = fsQCA outcome score. Colour = cluster. Hover for state name and details. Data from M3 + C1.
Source: M3_Typology_Matrix + C1_fsQCA_Sets (OUT_ai_governance_quality as bubble size)
06.2 — Full M3 Typology Table

All States — Complete Typology Classification

ISOCountryGovernance TypeRegulatory ApproachEnforcement ModelSovereignty PostureIntl. AlignmentCluster
AREUAECentralized-FederalSoft law + experimental legislationIndirect (procurement)Active (Falcon, MBZUAI)Western multilateralGulf Innovation Leader
SAUSaudi ArabiaCentralized-PM levelHybrid (PDPL hard + soft AI)Direct (SDAIA fines)Aggressive (ALAN, embassies)Selective multilateralGulf Sovereignty Pioneer
QATQatarCentralized-PM levelHybrid (ethics + binding finance)Sectoral (QCB binding)Moderate (Fanar, QIA)Regional (GCC+DCO)Gulf Sectoral Regulator
BHRBahrainMinisterialLicensing-based (proposed AI law)Proposed (3yr + fines)AspirationalGCC-orientedGulf Early Legislator
KWTKuwaitNoneNoneNonePassiveNoneGulf Governance Absent
OMNOmanFragmentedStrategic vision onlyNone (draft)AspirationalGCC-orientedGulf Emerging
EGYEgyptCentralized-MinisterialPhased soft-to-hardSupervisory (MCIT)Active (national FM)OECD adherentMENA Institutional Leader
MARMoroccoMulti-stakeholderHorizontal framework lawGraduated sanctionsModerateEU+UNESCONorth Africa Digital Hub
TUNTunisiaPM-level councilHybrid (hard law + sandboxes)Bifurcated (INPDP+DL54)AspirationalEU-influencedNorth Africa Innovation Bridge
DZAAlgeriaNoneNoneNonePassiveNoneNorth Africa Governance Absent
JORJordanNoneNoneNonePassiveNoneLevant Passive
IRQIraqCentralized-PM levelAgile governance + sectoral sandboxNo AI penalties (existing)Aspirational (AICTO)UNDP-supportedPost-Conflict Emerging
LBNLebanonNoneNoneNonePassiveNoneConflict-Affected Absent
PSEPalestineNoneNoneNonePassiveNoneConflict-Affected Absent
LBYLibyaNoneNoneNonePassiveNoneConflict-Affected Absent
SYRSyriaNoneNoneNonePassiveNoneConflict-Affected Absent
YEMYemenNoneNoneNonePassiveNoneConflict-Affected Absent
SDNSudanNoneNoneNonePassiveNoneConflict-Affected Absent
MRTMauritaniaNoneStrategic vision onlyNonePassiveNonePeripheral Minimal
Source: M3_Typology_Matrix (all 22 rows); governance_type, regulatory_approach_type, enforcement_model, ai_sovereignty_posture, intl_alignment_strategy, cluster_label
Theme 07 — Human Capital & Capacity Building

Human Capital & Capacity Building

AI governance requires people — researchers, regulators, engineers, civil servants, educators — with the knowledge and skills to design, implement, and oversee AI systems. This section examines the human capital foundations of Arab AI governance: the education infrastructure, skills ecosystems, and talent trajectories that determine whether states can staff the institutions their governance frameworks require. Where human capital is declining, governance ambitions will remain aspirational regardless of how many strategies are formally adopted.

Human Capital as AI Governance Foundation

Human capital is the bridge between governance aspiration and governance reality. A national AI strategy means little without people capable of implementing it; a regulatory framework is empty without civil servants, judges, and technologists who can interpret and enforce it. Saudi Arabia's dramatic rise up the global e-government rankings reflects not just infrastructure investment but sustained investment in education and skills. Conversely, states experiencing human capital decline — through emigration, conflict, or economic collapse — find their governance ambitions systematically undermined at the implementation level. The Arab region's human capital landscape is sharply divided, and that division closely predicts which governance strategies will be realised and which will remain aspirational documents.y attributable to HCI investment: 0.8101 (2018) → 0.9067 (2024). Yemen's HCI = 0.267 (2024, rank 185) represents the most acute human capital deficit — AI governance is structurally impossible without the human infrastructure to staff, implement, and oversee regulatory bodies.

The fsQCA state capacity condition (C1) integrates HCI as a component: full membership requires EGDI ≥ 0.85 AND n_governance_bodies ≥ 4. Countries with strong HCI but weak institutional infrastructure (Jordan HCI 0.6458, institutions=0) demonstrate that human capital alone cannot produce governance without the parallel institutional architecture.

07.1 — HCI Panel 2018–2024

EGDI Human Capital Index Trajectories

Fig. 31
HCI Trajectories 2018–2024 — All States with Data
From F6_EGDI_Panel (hci sub-index). Biennial data. Saudi Arabia dramatic rise. Yemen decline. Toggle countries.
Source: F6_EGDI_Panel (hci, biennial 2018–2024); UN DESA E-Government Survey
Fig. 32
HCI 2024 Cross-Section — All States with Data
Saudi Arabia 0.9067, UAE 0.9436. Libya HCI 0.5952 despite zero AI governance. Yemen 0.267.
Source: F6_EGDI_Panel (hci, 2024)
Fig. 33
HCI Change 2018 → 2024
Saudi Arabia +0.097. Bahrain +0.078. Libya decline −0.122. Yemen −0.136. Lebanon −0.121.
Source: F6_EGDI_Panel (hci 2018 vs 2024); positive = improvement
07.2 — HCI vs Governance Outcome

Human Capital as Governance Precondition

Fig. 34
HCI 2024 vs fsQCA Governance Outcome — Scatter
Human Capital Index vs AI governance quality. Saudi Arabia top-right. Kuwait anomaly: HCI 0.708 but governance 0.15. Iraq: HCI 0.497 but research output 0.80.
Source: F6_EGDI_Panel (hci, 2024); C1_fsQCA_Sets (OUT_ai_governance_quality)
Fig. 35
EGDI Online Services Index (OSI) 2024
OSI measures online service delivery capacity — a proxy for AI deployment readiness in public sector. Saudi Arabia OSI = 0.990.
Source: F6_EGDI_Panel (osi, 2024)
Fig. 36
e-Participation Index 2024
E-participation reflects civic digital engagement. UAE 0.781, KWT 0.301. Low e-participation correlates with authoritarian digital governance.
Source: F6_EGDI_Panel (eparticipation, 2024)
07.3 — AI Talent & Capacity Ecosystems

Research Output as Human Capital Proxy

Fig. 37
AI Publications per Country vs HCI 2024 (Bubble = Publication Volume)
Countries with high HCI and high publications are building sustainable AI ecosystems. Iraq anomaly: publications 679 but HCI only 0.497.
Source: F6_EGDI_Panel (hci, 2024); F2_Country_Year_Panel (ai_pubs, 2023)
07.4 — Full HCI Data Table

EGDI HCI Panel — All States with Data

ISOCountryTierHCI 2018HCI 2020HCI 2022HCI 2024Δ 18→24OSI 2024e-Partic. 2024fsQCA State Cap.
AREUAEAdv0.68770.73200.87110.9436+0.2560.91630.7810.95
SAUSaudi ArabiaAdv0.81010.86480.86620.9067+0.0970.99000.9590.90
QATQatarAdv0.66830.66980.71500.7114+0.0430.76550.4800.85
BHRBahrainInt0.78970.84390.81540.8680+0.0780.90310.9040.80
KWTKuwaitMin0.68520.74700.77060.7083+0.0230.63660.3010.65
OMNOmanEmg0.70130.77510.80670.7977+0.0960.80770.6580.70
EGYEgyptInt0.60720.61920.63750.6150+0.0080.70020.5890.60
MARMoroccoEmg0.52780.61520.63500.6078+0.0800.56180.4380.55
TUNTunisiaInt0.66400.69740.69110.6497−0.0140.59510.4520.55
DZAAlgeriaMin0.66400.69660.69560.6418−0.0220.33200.0550.35
JORJordanMin0.73870.68000.69670.6458−0.0930.75910.6160.55
LBNLebanonAbs0.66490.65670.66560.5433−0.1210.44890.4660.35
IRQIraqEmg0.50940.43580.58880.4967−0.0130.18760.0960.30
LBYLibyaAbs0.71730.73570.75340.5952−0.1220.08080.0140.15
SYRSyriaAbs0.48600.50730.49830.4169−0.0690.30680.0690.05
YEMYemenAbs0.40370.41420.36330.2670−0.1370.13770.1510.05
Source: F6_EGDI_Panel (hci, osi, eparticipation — biennial 2018–2024); C1_fsQCA_Sets (COND_state_capacity); UN DESA E-Government Survey
Theme 08 — Cybersecurity

Cybersecurity

Cybersecurity capacity is a critical dimension of the broader AI governance challenge. States that cannot protect their digital infrastructure, respond to threats, or establish trusted legal frameworks for data security lack a foundational prerequisite for responsible AI deployment. This section maps the cybersecurity landscape across the Arab world through multiple complementary measurement frameworks, revealing stark asymmetries between globally competitive Gulf states and populations that remain highly exposed to cyber threats with minimal institutional protection.

Cybersecurity-Governance Alignment

Cybersecurity capacity and AI governance capacity are deeply interrelated but not identical. The Gulf states demonstrate that deliberate national investment can build world-class cybersecurity frameworks rapidly, achieving global recognition for legal, technical, and organisational preparedness. Yet several Arab states with moderate governance ambitions show significant cybersecurity vulnerabilities, and populations that are heavily connected digitally in some of the conflict-affected states face high exposure to cyber threats with minimal institutional protection — a compounding vulnerability that makes responsible AI deployment effectively impossible.l AI governance and low cybersecurity capacity. The CEI (Cyber Exposure Index) reveals a counterintuitive pattern: states with zero AI governance (Palestine CEI=0.855, Libya CEI=0.793, Morocco CEI=0.748) score highest on cyber exposure — meaning they are most affected by cybersecurity incidents with the least capacity to respond.

08.1 — Four Index Comparison

GCI, NCSI, DDL, CEI — All States

Fig. 38
ITU Global Cybersecurity Index (GCI) — All States
F7: gci_score (0–100). Saudi Arabia 99.54, UAE 98.06, Oman 96.04, Egypt 95.48. Iraq 20.71. Algeria 33.95.
Source: ITU GCI (gci_score); ITU GCI 2024
Fig. 39
NCSI — National Cyber Security Index
F7: ncsi_score. Saudi Arabia 84.42, Qatar 58.44, Egypt 57.14, Morocco 70.13. Iraq 5.19.
Source: NCSI (ncsi_score); e-Governance Academy
Fig. 40
CEI — Cyber Exposure Index (0=safe, 1=exposed)
F7: cei_score. Palestine 0.855 (most exposed), Libya 0.793, Morocco 0.748. Qatar 0.241 (least exposed).
Source: CEI (cei_score); lower = less exposed to cyber incidents
Fig. 41
GCI vs NCSI Scatter — Cybersecurity Capacity Correlation
Both indices measure cybersecurity capacity. Strong correlation (r~0.85). Outliers: Morocco (GCI 82 but NCSI 70), Algeria (GCI 34, NCSI 34). Hover for state labels.
Source: F7 (gci_score vs ncsi_score); ITU + e-Governance Academy
08.2 — Full Cybersecurity Table

All States

ISOCountryTierGCI (0–100)NCSI (0–100)DDLCEI (0–1)Internet 2023%
SAUSaudi ArabiaAdvanced99.5484.4263.890.39100%
AREUAEAdvanced98.0640.2668.870.359100%
OMNOmanEmerging96.0445.4559.5195.25%
EGYEgyptIntermediate95.4857.1446.930.54872.69%
QATQatarAdvanced94.5058.4464.990.24199.65%
TUNTunisiaIntermediate86.2353.2546.260.61472.35%
MARMoroccoEmerging82.4170.1346.880.74891.0%
BHRBahrainIntermediate77.8625.9765.17100%
KWTKuwaitMinimal75.070.42899.75%
JORJordanMinimal70.9628.5754.070.58692.53%
SDNSudanAbsent35.0311.6925.50
DZAAlgeriaMinimal33.9533.7742.810.72176.91%
LBNLebanonAbsent30.440.57983.49%
LBYLibyaAbsent28.7810.3941.100.79388.5%
PSEPalestineAbsent25.180.85586.64%
SYRSyriaAbsent22.1415.5833.40
IRQIraqEmerging20.715.190.69081.73%
MRTMauritaniaMinimal18.9411.6911.3037.38%
YEMYemenAbsent7.79
Source: F7 (gci_score, ncsi_score, ddl_score, cei_score); ITU GCI 2024; e-Governance Academy NCSI; DDL = Digital Development Level; CEI = Cyber Exposure Index (Comparitech/similar)
Theme 09 — Country Profiles

Country Profiles

Each of the Arab League member states has a distinct AI governance story shaped by its political system, economic resources, institutional history, and geopolitical position. This section presents individual state profiles that bring together the full cross-sectional evidence — regulatory frameworks, readiness trajectories, research output, infrastructure, cybersecurity capacity, and governance typology — into a single comparable portrait, making visible both the diversity of governance paths across the region and the structural factors that constrain or enable each state's trajectory.

09.1 — GCC States

Gulf Cooperation Council (6 States)

ARE
United Arab Emirates
TierAdvanced
Oxford 202569.86
EGDI 20240.9533 (Rank 11)
GDP/cap 2023$49,851
GCI98.06
AI Regs8 · Bodies: 5
ClusterGulf Innovation Leader
SAU
Saudi Arabia
TierAdvanced
Oxford 202571.57
EGDI 20240.9602 (Rank 6)
GDP/cap 2023$36,157
GCI99.54
AI Regs11 · OECD init: 64
ClusterGulf Sovereignty Pioneer
QAT
Qatar
TierAdvanced
Oxford 202558.61
EGDI 20240.8244 (Rank 53)
GDP/cap 2023$81,817
GCI94.50
AI Regs8 · Bodies: 4
ClusterGulf Sectoral Regulator
BHR
Bahrain
TierIntermediate
Oxford 202559.57
EGDI 20240.9196 (Rank 18)
GDP/cap 2023$29,290
GCI77.86
Draft AI Law38 art. · Shura Apr 2024
ClusterGulf Early Legislator
KWT
Kuwait
TierMinimal — PARADOX
Oxford 202543.79
EGDI 20240.7812 (Rank 66)
GDP/cap 2023$34,076
Internet99.75% · Mobile 167.68/100
Broadband1.01/100 · AI Regs: 0
ClusterGulf Governance Absent
OMN
Oman
TierEmerging
Oxford 202556.73
EGDI 20240.8576 (Rank 41)
GDP/cap 2023$21,028
GCI96.04
PDPL2021 enacted
ClusterGulf Emerging
09.2 — North Africa States

North Africa (5 States)

EGY
Egypt
TierIntermediate
Oxford 202559.10 (+6.41)
EGDI 20240.6699 (Rank 95)
Pubs 2023669 · R&D: 1.03%
GCI95.48
OECDAdherent · 8 initiatives
ClusterMENA Institutional Leader
MAR
Morocco
TierEmerging
Oxford 202543.06
EGDI 20240.6841 (Rank 90)
Pubs 2023234
GCI82.41
Fuzzy data prot.0.80 — Amazigh incl.
ClusterNorth Africa Digital Hub
TUN
Tunisia
TierIntermediate
Oxford 202542.23
EGDI 20240.6935 (Rank 87)
Pubs 2023357 · R&D: 0.75%
GCI86.23
PDPL2004 — oldest in dataset
ClusterNorth Africa Innovation Bridge
DZA
Algeria
TierMinimal
Oxford 202542.05 (+6.06)
EGDI 20240.5956 (Rank 116)
Pubs 2023178 · No governance
GCI33.95
AI Regs0 · Bodies: 0
ClusterNorth Africa Governance Absent
LBY
Libya
TierAbsent
Oxford 202528.38
EGDI 20240.5466 (Rank 125)
GDP/cap 2023$6,027 (oil)
EGDI TII0.964 — infra paradox
AI Regs0 · Dual govt
ClusterConflict-Affected Absent
09.3 — Levant + Conflict States

Levant, Iraq, Sudan and Yemen

Country Profiles Radar — Selected States (Normalised 0–1)
Normalised composite from F1+F5+F6+F7+C1. Select states to compare. Hover over axes for values.
Source: F1 (regulatory score), F5 (Oxford 2025/100), F6 (EGDI 2024), F7 (GCI/100), C1 (fsQCA outcome), F3 (internet%/100)
Research Project

Project Design & Research Aims

This Lab studies AI governance and society, examining how AI reshapes regulation, institutional frameworks, human identity, creativity, ethics, discourse, and public opinion across all Arab League member states. It maps regulatory landscapes, analyses governance configurations, examines AI sovereignty strategies, tracks readiness trajectories, and provides researchers and policymakers with rigorous evidence and policy recommendations to shape the Arab world's AI governance and societal future.

01 — Research Aims

Core Objectives

AIM 01
Map the Regulatory Landscape
Produce the first systematic cross-national database of AI governance frameworks, laws, bodies, and enforcement mechanisms across all Arab League member states, coded from primary sources.
AIM 02
Identify Causal Configurations
Use fuzzy-set QCA to identify the combinations of state capacity, economic resources, digital infrastructure, data protection, international alignment, and research output that produce effective AI governance — or its absence.
AIM 03
Develop a Regional Typology
Construct a five-type governance typology (monarchical centralisation, securitised military, regulatory facade, fragmented failure, sanctions-driven indigenous development) with empirical country assignments.
AIM 04
Explain Governance Paradoxes
Theorise and test three empirical paradoxes: (1) Kuwait wealth-governance gap; (2) Iraq research-governance gap; (3) Lebanon Oxford paradox (high scores preceding collapse). These cannot be explained by standard regression approaches.
AIM 05
Examine Sovereignty Strategies
Analyse the emergence of AI sovereignty strategies (sovereign LLMs, data embassies, national AI champions) as a regional governance modality distinct from both EU regulatory convergence and US market-led approaches.
AIM 06
Track Readiness Trajectories
Use the Oxford Insights 2020–2025 panel and UN EGDI biennial panel to identify convergence and divergence across the region — which states are improving, stagnating, or declining relative to their starting point?
AIM 07
Provide Policy Recommendations
Derive theoretically-grounded, empirically-tested institutional design principles for Arab AI governance, differentiated by governance pathway and addressable to regional and national policy actors.
AIM 08
Examine AI & Society
Study how AI reshapes human identity, creativity, ethics, discourse, and public opinion across Arab societies — examining cultural, philosophical, and communicative dimensions of AI adoption and governance.
02 — Theoretical Framework

Three Analytical Layers

Layer 1: Configurational Causality

Standard regression analysis assumes symmetry (high X causes high Y, and low X causes low Y) and additivity (each condition contributes independently to the outcome). Both assumptions are empirically untenable at N=22. The fsQCA approach treats governance as a configurational outcome — produced by specific combinations of conditions, with multiple paths to the same outcome (equifinality) and asymmetric causality.

Layer 2: The Accountability Dispersal Thesis

Algorithmic governance in MENA does not simply strengthen authoritarian control — it fundamentally transforms how power operates by concentrating coercive capacity while dispersing accountability, creating a form of state power that is simultaneously more capable and less responsible. This is the central theoretical contribution of The Algorithmic State in the MENA Region (Oxford University Press, forthcoming).

Layer 3: Three Governance Pathways (fsQCA)

Petro-fiscal surplus pathway (UAE, SAU, QAT): high economic resources + high state capacity + high digital infrastructure → Advanced governance. Institutional pioneer pathway (EGY, TUN): high data protection + high international alignment + high research output, without high economic resources → Intermediate/Advanced governance without wealth. Research-led emergence pathway (IRQ): high research output without state capacity or data protection → partial governance (outcome 0.45), but the research-governance gap prevents full emergence.

03 — Forthcoming Publications

Forthcoming Publications

Government Information Quarterly
Elsevier · IF 7.9 · Digital governance flagship
Policy Sciences
Springer · Comparative policy analysis
AI & Society
Springer · Social dimensions of AI
Public Administration Review
Wiley · Global administration top journal
Telecommunications Policy
Elsevier · Digital infrastructure focus
Internet Policy Review
Regional focus · MENA governance
Journal of Information Technology & Politics
Taylor & Francis · JITP
Regulation & Governance
Wiley · Regulatory theory
Global Policy
Wiley · International comparative policy
Methodology

Research Methodology

Multi-method design integrating star-schema database architecture, fuzzy-set Qualitative Comparative Analysis (fsQCA), Oxford Insights and UN EGDI panels, WDI economic indicators, and qualitative regulatory profiling across Arab League member states.

1. Dataset Architecture (Star Schema)

Fourteen datasets are organised in a star schema with F1_Country_Cross_Section (N=22, 46 variables) as the central fact table. Dimension tables extend by year (F2, F3, F5, F6, F8), by analytical method (C1, C2), and by qualitative profiling (D1, M3). All tables share the iso3 primary key, enabling full merge at any level of analysis.

TableN (rows)VariablesTypeKey VariablesSource
F12246Cross-sectionhas_ai_strategy, n_ai_regulations, regulatory_maturity_tierRegulations.AI, OECD.AI, manual coding
F21019Country-year panelai_pubs, oxford_ai_score, egdi_scoreOECD.AI/Scopus, Oxford Insights, UN DESA
F31329WDI panelinternet_users_pct, gdp_per_capita_usd, rd_expenditure_gdp_pctWorld Bank WDI
F4228Cross-sectiongdp_pc_2020–2023, income_group, fuzzy_economic_resourcesWorld Bank + manual fuzzy calibration
F51377Oxford panel 2020–2025overall_score, pillar_government, pillar_tech_sector, pillar_data_infraOxford Insights (CC BY-SA 4.0)
F6649EGDI biennial 2018–2024egdi_rank, egdi_score, osi, hci, tii, eparticipationUN DESA EGDI 2018–2024
F7226Cross-sectiongci_score, ncsi_score, ddl_score, cei_scoreITU, e-Governance Academy, Comparitech
F817621Master panel (merged)All F-table variables mergedMerge of F2–F7
C12210fsQCA fuzzy setsOUT_ai_governance_quality + 7 COND_ variablesC2 calibration anchors, manual coding
C287Calibration anchorsfull_in/crossover/full_out thresholds per setRagin (2008) direct calibration
D1214Qualitative profilesregulatory_philosophy, enforcement_mechanisms, data_sovereignty_approachManual coding from primary documents
M3228Typology matrixgovernance_type, regulatory_approach_type, enforcement_model, cluster_labelManual coding from D1 + F1
Z1267CodebookVariable definitions, sources, calibration notesInternal

2. fsQCA Methodology

Fuzzy-set Qualitative Comparative Analysis (Ragin 2008; Schneider & Wagemann 2012) is appropriate for small-N, medium-N analysis where the goal is to identify causal configurations rather than net effects. With N=22, standard OLS regression produces unreliable estimates. fsQCA converts continuous variables to fuzzy set membership scores (0 = fully out, 0.5 = crossover, 1 = fully in) using direct calibration against theoretically-grounded anchors from C2_Calibration_Anchors.

The analysis identifies three causal pathways and reports both necessity analysis (which conditions are consistently present when the outcome is present) and sufficiency analysis (which configurations, alone or in combination, produce the outcome). The coverage and consistency statistics for each solution are reported with the full fsQCA output.

3. Dataset Availability

The full dataset supporting this research is publicly available on the Harvard Dataverse as an open-access repository:

Harvard Dataverse — Open Access
Arab AI Governance Lab Dataset
DOI: 10.7910/DVN/MOVIFA
Access Dataset →

The repository includes all 14 CSV datasets (F1–F8, C1–C2, D1, M3, Z1, Arab_AI_ANALYTICAL.xlsx, Arab_AI_Source_Archive.xlsx), codebook, calibration anchors, and full variable documentation. Data are released under CC BY 4.0 for academic and policy use.

4. Key References

  • Ragin, C.C. (2008). Redesigning Social Inquiry: Fuzzy Sets and Beyond. University of Chicago Press.
  • Schneider, C.Q. & Wagemann, C. (2012). Set-Theoretic Methods for the Social Sciences. Cambridge University Press.
  • Oxford Insights (2020–2025). Government AI Readiness Index. Annual editions. CC BY-SA 4.0.
  • United Nations DESA (2018–2024). E-Government Survey. Biennial. UN DESA.
  • World Bank (2023). World Development Indicators. IT.NET.USER.ZS; NY.GDP.PCAP.CD.
  • ITU (2024). Global Cybersecurity Index. International Telecommunication Union.
  • OECD (2024). OECD.AI Policy Observatory. oecd.ai
  • Ben Brik, A. (forthcoming). The Algorithmic State in the MENA Region. Oxford University Press.
  • Ben Brik, A. (forthcoming). Governing the Machine. NYU Press.
Publications

Publications

Three forthcoming monographs and a programme of journal articles and working papers emerging from the Arab AI Governance Lab research.

Books

Forthcoming Books

Monograph · Oxford University Press · Forthcoming
The Algorithmic State in the MENA Region: Politics, Governance, Society and Futures
Anis Ben Brik · Oxford University Press
Foundational scholarly analysis of how AI reshapes authoritarian governance in MENA. Draws on 15 datasets, five-type typology (monarchical centralisation, securitised military, regulatory facade, fragmented failure, sanctions-driven indigenous development), and the accountability dispersal thesis. Positioned at intersection of comparative politics, digital governance, and Middle Eastern area studies.
15 datasets · Typology · Accountability dispersal thesis
Monograph · NYU Press · Law and Public Policy Series · Forthcoming
Governing the Machine: Democracy, Power, and the Regulation of Artificial Intelligence
Anis Ben Brik · NYU Press
First cross-national empirical analysis of how political institutions shape AI governance across 206 countries (2017–2024 panel). Advances three claims: liberal democracy promotes governance; technology industry lobbying attenuates this effect; ungoverned AI erodes the democratic foundations governance requires. Methods: panel FE, system GMM, IV, spatial autoregressive models. Six case studies: EU, US, China, UAE, Taiwan, Brazil.
206 countries · 2017–2024 · Democracy-AI nexus
Edited Book · Edward Elgar Publishing · May 2026 · ISBN 9781035366842
Anis Ben Brik · Edward Elgar Publishing
Published monograph providing the foundational comparative governance framework for the MENA region. Available via Edward Elgar open access and print. Provides the theoretical infrastructure — institutional analysis, comparative statics, policy process models — on which the AI governance research programme builds. ISBN: 9781035366842.
Published 2024 · Edward Elgar · Open Access available
Articles & Working Papers

Journal Articles

In Press
AI & Society · In Press
Language models, national narrative, and the discursive construction of AI governance in the Gulf States
Ben Brik, A., Fyderek, Ł., Gilbert, N., Pycińska, M., Villeneuve, J.-P., Brown, C. T., & Liang, H. (2025). AI & Society. (In press).
New Media & Society · In Press
Ethical charters as performative texts: A comparative discourse analysis of AI ethics frameworks in the Arab world
Ben Brik, A., Fyderek, Ł., Gilbert, N., Pycińska, M., Villeneuve, J.-P., Brown, C. T., & Liang, H. (2025). New Media & Society. (In press).
Information, Communication & Society · In Press
The sovereignty paradox: Sovereign LLMs and the construction of Arab digital identity
Ben Brik, A., Fyderek, Ł., Gilbert, N., Pycińska, M., Villeneuve, J.-P., Brown, C. T., & Liang, H. (2025). Information, Communication & Society. (In press).
Government Information Quarterly · In Press
E-participation, AI, and the mediation of citizen-state discourse in the Arab world
Ben Brik, A., Fyderek, Ł., Gilbert, N., Pycińska, M., Villeneuve, J.-P., Brown, C. T., & Liang, H. (2025). Government Information Quarterly. (In press).
Revise and Resubmit
AI & Society · Revise & Resubmit
The accountability dispersal thesis: How algorithmic governance reshapes power, discourse, and human agency in MENA
Ben Brik, A., Fyderek, Ł., Gilbert, N., Pycińska, M., Villeneuve, J.-P., Brown, C. T., & Liang, H. (2025). AI & Society. (Revise and resubmit).
New Media & Society · Revise & Resubmit
The human in the machine: Competing philosophies of human oversight and moral agency in Arab AI regulation
Ben Brik, A., Fyderek, Ł., Gilbert, N., Pycińska, M., Villeneuve, J.-P., Brown, C. T., & Liang, H. (2025). New Media & Society. (Revise and resubmit).
Information, Communication & Society · Revise & Resubmit
Absent voices, algorithmic futures: AI governance and the erasure of conflict-affected societies in Arab digital modernity
Ben Brik, A., Fyderek, Ł., Gilbert, N., Pycińska, M., Villeneuve, J.-P., Brown, C. T., & Liang, H. (2025). Information, Communication & Society. (Revise and resubmit).
Under Review
AI & Ethics · Under Review
Data as dignity: Personal data protection laws and the construction of the digital self in the Arab world
Ben Brik, A., Fyderek, Ł., Gilbert, N., Pycińska, M., Villeneuve, J.-P., Brown, C. T., & Liang, H. (2025). AI & Ethics. (Under review).
How to Cite

Citation & BibTeX

Please use the following citations when referencing the Arab AI Governance Lab research programme or dataset.

Dataset Citation (APA)
Ben Brik, A., Fyderek, Ł., Gilbert, N., Pycińska, M., Villeneuve, J.-P., Brown, C. T., & Liang, H. (2025). Arab AI Governance Lab Dataset [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/MOVIFA
BibTeX
@dataset{benbrik2025arab,
  author    = {Ben Brik, Anis},
  title     = {Arab {AI} Governance Lab Dataset},
  year      = {2025},
  publisher = {Harvard Dataverse},
  doi       = {10.7910/DVN/MOVIFA},
  url       = {https://dataverse.harvard.edu/dataset.xhtml
               ?persistentId=doi:10.7910/DVN/MOVIFA},
  note      = {N=Arab League states,
               14 CSV datasets, CC BY 4.0}
}
📋 ORCID: 0000-0000-0000-0000  ·  Harvard Dataverse DOI: 10.7910/DVN/MOVIFA  ·  Licence: CC BY 4.0
Research Team

Research Team

The Arab AI Governance Lab is directed by Prof. Anis Ben Brik (USI Switzerland / UC Berkeley) and brings together co-researchers from Jagiellonian University and UC Berkeley, and research assistants from UC Berkeley and Cornell University.

Principal Investigator
Professor Anis Ben Brik
Prof. Anis Ben Brik
USI Switzerland · Visiting Prof. UC Berkeley
Principal Investigator & Founder · Arab AI Governance Lab
Anis Ben Brik
Associate Professor, Faculty of Communication, Culture and Society · Institute of Communication and Public Policy · Università della Svizzera italiana (USI), Switzerland · Visiting Professor, UC Berkeley

Prof. Anis Ben Brik is Associate Professor at the Faculty of Communication, Culture and Society, Institute of Communication and Public Policy, Università della Svizzera italiana (USI), Switzerland, and Visiting Professor at UC Berkeley. His research programme sits at the intersection of comparative politics, digital governance, and Middle Eastern and North African studies. He is the leading scholarly authority on AI governance in the Arab world, directing the first multi-method study of AI regulatory frameworks, readiness trajectories, and governance configurations across all Arab League member states.

His research spans two major streams: Arab AI Governance — the first multi-method study of AI regulation across Arab League states — and AI & Society, examining the societal implications of AI including design, use, management, and policy, with particular emphasis on cultural, social, cognitive, economic, ethical, and philosophical dimensions of how AI transforms human experience. His forthcoming monographs with Oxford University Press (The Algorithmic State in the MENA Region) and NYU Press (Governing the Machine: Democracy, Power, and the Regulation of Artificial Intelligence) make original contributions to comparative AI governance, configurational analysis, and the accountability dispersal thesis — the proposition that algorithmic governance concentrates coercive capacity while dispersing accountability in ways without precedent in authoritarian governance.

AI GovernanceMENA PoliticsComparative Policy Digital GovernancefsQCAData Protection Authoritarian PoliticsArab LeagueE-Government
Books

Published and Forthcoming Books

Oxford University Press · Forthcoming
The Algorithmic State in the MENA Region: Politics, Governance, Society and Futures
Foundational comparative analysis of AI governance across MENA. Five-type typology. Accountability dispersal thesis. 15 datasets. Suitable for advanced undergraduate/postgraduate courses on digital authoritarianism, MENA politics, and technology governance.
OUP Forthcoming · 15 datasets
NYU Press · Law and Public Policy Series · Forthcoming
Governing the Machine: Democracy, Power, and the Regulation of AI
206 countries · 2017–2024 panel. Liberal democracy → AI governance. Technology lobbying attenuates democracy effect. Ungoverned AI degrades institutional capacity. Six case studies: EU, US, China, UAE, Taiwan, Brazil.
NYU Press · 206 countries · 2017–2024
Edward Elgar Publishing · Published 2024
Governance and Public Policy in the Middle East and North Africa
Published monograph providing theoretical foundations for comparative governance in MENA. ISBN: 9781035366842. Available open access. Foundational text for the governance research programme.
Published 2024 · Edward Elgar · ISBN 9781035366842
Co-Investigators

Co-Investigators

Dr Magdalena Pycinska
Dr Magdalena Pycińska
Co-Investigator · Jagiellonian University
Co-Investigator
Magdalena Pycińska
Institute of the Middle and Far East · Jagiellonian University, Kraków, Poland

Dr Magdalena Pycińska is a researcher at the Institute of the Middle and Far East (Instytut Bliskiego i Dalekiego Wschodu) at Jagiellonian University, Kraków (ul. Oleandry 2a, 30-063 Kraków). Her expertise spans Middle Eastern area studies, regional politics, and digital governance in the MENA context — providing the project with deep regional and cultural knowledge essential to interpreting the dataset's qualitative dimensions.

MENA Area StudiesMiddle East Politics Digital GovernanceJagiellonian University
orient.uj.edu.pl →
Prof. Neil Gilbert
Prof. Neil Gilbert
Co-Investigator · UC Berkeley
Co-Investigator
Neil Gilbert
Milton and Gertrude Chernin Professor of Social Welfare and Social Services · UC Berkeley

Professor Neil Gilbert holds the Milton and Gertrude Chernin Chair in Social Welfare and Social Services at the University of California, Berkeley. One of the foremost scholars of comparative social welfare policy, his work on welfare state transformation, social services, and the political economy of care informs the project's analysis of how AI governance intersects with social protection frameworks across the Arab world.

Comparative Social WelfareSocial Services Welfare State PolicyUC Berkeley
socialwelfare.berkeley.edu →
Dr hab. Łukasz Fyderek
Dr hab. Łukasz Fyderek
Co-Investigator · Jagiellonian University
Co-Investigator
Łukasz Fyderek
Dr hab. · Director, Institute of the Middle East and Far East
Jagiellonian University, Kraków, Poland

Political scientist and international affairs analyst specialising in Middle Eastern issues. His research focuses on authoritarian states, systemic transformation, foreign policies of West Asian states, state reconstruction, and strategic problems. He has conducted extensive field research across the Middle East and North Africa — including Syria, Jordan, Lebanon, and Iraq — combining theoretical reflection with participatory observation. He was a Visiting Scholar at the American University of Beirut (2011/12) and Associate Professor at University Utara Malaysia (2014–15). He has delivered guest lectures in the Netherlands, Algeria, the US, and Iraq, and comments on international affairs for Polish and foreign media.

Middle East Politics Authoritarian Systems Arab World Field Research State Transformation Syria · Lebanon · Iraq Jagiellonian University
[email protected]
Prof. Jean-Patrick Villeneuve
Jean-Patrick Villeneuve
Co-Investigator · USI Switzerland
Co-Investigator
Jean-Patrick Villeneuve
Full Professor of Public Administration and Management
Director, Institute of Communication and Public Policy · USI Switzerland
Head, GRIP (Public Integrity Research Group)

Jean-Patrick Villeneuve holds a Ph.D. from IDHEAP/HEC Lausanne, an M.Phil. from Cambridge University, an M.A/M.P.A. from Concordia University, and a B.A. from McGill University. His research focuses on four interconnected topics: anti-corruption, civic participation, transparency, and accountability — examining their measurement, policy challenges, and real-world impact. He is Co-Director of the Master programme in Public Management and Policy (offered in collaboration with the University of Lausanne and the University of Berne). His work has been funded by the European Science Foundation, Swiss National Science Foundation, and the Social Sciences and Humanities Research Council of Canada. He has published in leading academic journals and with top publishing houses, and serves on multiple journal boards and academic associations.

Anti-Corruption Civic Participation Transparency Accountability Public Administration Public Policy USI Switzerland
Research Assistants

Research Assistants

C. Taylor Brown
Research Assistant
C. Taylor Brown
PhD Candidate · Social Welfare & Critical Theory · UC Berkeley

PhD candidate in Social Welfare and Critical Theory at UC Berkeley and founding Executive Director of the Center for Ecosocial Policy, a nonprofit advancing just climate adaptation through community education, organizing, and policy implementation.

Social WelfareCritical TheoryClimate PolicyUC Berkeley
ct-brown.github.io →
Hao Liang
Research Assistant
Hao Liang
PhD Candidate · Department of Sociology · Cornell University

PhD candidate in the Department of Sociology at Cornell University, bringing expertise in computational social science, comparative social structures, and digital society. Contributes to dataset construction, quantitative analysis, and the sociological framing of AI governance configurations across the Arab world.

SociologyComputational Social ScienceCornell University
liaanghao.com →
Data Sources & Acknowledgements

Primary Data Sources

Oxford Insights
Government AI Readiness Index 2020–2025. CC BY-SA 4.0. 6-year panel, 3 pillars.
UN DESA
E-Government Survey (EGDI) biennial 2018–2024. OSI, HCI, TII, e-Participation sub-indices.
World Bank WDI
Internet penetration, GDP/cap, mobile, broadband, R&D (IT.NET.USER.ZS, NY.GDP.PCAP.CD).
OECD.AI Observatory
AI initiatives inventory, publication counts (Scopus fractional). Policy database.
ITU & e-Gov Academy
ITU GCI 2024 (0–100), NCSI, DDL, CEI cybersecurity indices.
Regulations.AI / Manual
AI strategy, body, law, PDPL, sandbox, risk classification from primary documents. Manual coding.
Contact & Collaborate

Get in Touch

Research Enquiries
Prof. Anis Ben Brik
anis.ben.brik@usi.ch
Research collaboration, data access, speaking invitations
Dataset Access
Harvard Dataverse
doi:10.7910/DVN/MOVIFA
14 datasets · CC BY 4.0 · Free for academic and policy use
Follow the Lab
Stay Updated
𝕏 @ArabAIGovLab LinkedIn: Arab AI Governance Lab
New data releases, publications, policy briefs, and conference presentations.