AI Governance in the GCC States: A Comparative Analysis of National AI Strategies

• URL: http://arxiv.org/abs/2505.02174v1
• Date: Sun, 04 May 2025 16:25:52 GMT
• Title: AI Governance in the GCC States: A Comparative Analysis of National AI Strategies
• Authors: Mohammad Rashed Albous, Odeh Rashed Al-Jayyousi, Melodena Stephens,
• Abstract summary: Gulf Cooperation Council (GCC) states increasingly adopt Artificial Intelligence (AI) to drive economic diversification and enhance services.<n>This paper investigates the evolving AI governance landscape across the six GCC nations, the United Arab Emirates, Saudi Arabia, Qatar, Oman, Bahrain, and Kuwait.<n>Findings highlight a "soft regulation" approach that emphasizes national strategies and ethical principles rather than binding regulations.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Gulf Cooperation Council (GCC) states increasingly adopt Artificial Intelligence (AI) to drive economic diversification and enhance services. This paper investigates the evolving AI governance landscape across the six GCC nations, the United Arab Emirates, Saudi Arabia, Qatar, Oman, Bahrain, and Kuwait, through an in-depth document analysis of six National AI Strategies (NASs) and related policies published between 2018 and 2024. Drawing on the Multiple Streams Framework (MSF) and Multi-stakeholder Governance theory, the findings highlight a "soft regulation" approach that emphasizes national strategies and ethical principles rather than binding regulations. While this approach fosters rapid innovation, it also raises concerns regarding the enforceability of ethical standards, potential ethicswashing, and alignment with global frameworks, particularly the EU AI Act. Common challenges include data limitations, talent shortages, and reconciling AI applications with cultural values. Despite these hurdles, GCC governments aspire to leverage AI for robust economic growth, better public services, and regional leadership in responsible AI. The analysis suggests that strengthening legal mechanisms, enhancing stakeholder engagement, and aligning policies with local contexts and international norms will be essential for harnessing AI's transformative potential in the GCC.

Related papers

• Trustworthiness of Legal Considerations for the Use of LLMs in Education [0.0]
  This paper offers a comparative analysis of AI-related regulatory and ethical frameworks across key global regions.<n>It maps how core trustworthiness principles, such as transparency, fairness, accountability, data privacy, and human oversight are embedded in regional legislation and AI governance structures.<n>The paper contributes practical guidance for building legally sound, ethically grounded, and culturally sensitive AI systems in education.
  arXiv  Detail & Related papers  (2025-08-05T07:44:33Z)
• Advancing Science- and Evidence-based AI Policy [163.43609502905707]
  This paper tackles the problem of how to optimize the relationship between evidence and policy to address the opportunities and challenges of AI.<n>An increasing number of efforts address this problem by often either (i) contributing research into the risks of AI and their effective mitigation or (ii) advocating for policy to address these risks.
  arXiv  Detail & Related papers  (2025-08-02T23:20:58Z)
• The California Report on Frontier AI Policy [110.35302787349856]
  Continued progress in frontier AI carries the potential for profound advances in scientific discovery, economic productivity, and broader social well-being.<n>As the epicenter of global AI innovation, California has a unique opportunity to continue supporting developments in frontier AI.<n>Report derives policy principles that can inform how California approaches the use, assessment, and governance of frontier AI.
  arXiv  Detail & Related papers  (2025-06-17T23:33:21Z)
• Promising Topics for U.S.-China Dialogues on AI Risks and Governance [0.0]
  Despite strategic competition, there exist concrete opportunities for bilateral U.S.-China cooperation in the development of responsible AI.<n>We analyze more than 40 primary AI policy and corporate governance documents from both nations.<n>Our analysis contributes to understanding how different international governance frameworks might be harmonized to promote global responsible AI development.
  arXiv  Detail & Related papers  (2025-05-12T11:56:19Z)
• Enterprise Architecture as a Dynamic Capability for Scalable and Sustainable Generative AI adoption: Bridging Innovation and Governance in Large Organisations [55.2480439325792]
  Generative Artificial Intelligence is a powerful new technology with the potential to boost innovation and reshape governance in many industries.<n>However, organisations face major challenges in scaling GenAI, including technology complexity, governance gaps and resource misalignments.<n>This study explores how Enterprise Architecture Management can meet the complex requirements of GenAI adoption within large enterprises.
  arXiv  Detail & Related papers  (2025-05-09T07:41:33Z)
• Towards Adaptive AI Governance: Comparative Insights from the U.S., EU, and Asia [0.0]
  This study conducts a comparative analysis of AI trends in the United States (US), the European Union (EU), and Asia.<n>It focuses on three key dimensions: generative AI, ethical oversight, and industrial applications.<n>The US prioritizes market-driven innovation with minimal regulatory constraints, the EU enforces a precautionary risk-based framework emphasizing ethical safeguards, and Asia employs state-guided AI strategies that balance rapid deployment with regulatory oversight.
  arXiv  Detail & Related papers  (2025-04-01T11:05:47Z)
• Responsible AI Governance: A Response to UN Interim Report on Governing AI for Humanity [15.434533537570614]
  The report emphasizes the transformative potential of AI in achieving the Sustainable Development Goals.<n>It acknowledges the need for robust governance to mitigate associated risks.<n>The report concludes with actionable principles for fostering responsible AI governance.
  arXiv  Detail & Related papers  (2024-11-29T18:57:24Z)
• Using AI Alignment Theory to understand the potential pitfalls of regulatory frameworks [55.2480439325792]
  This paper critically examines the European Union's Artificial Intelligence Act (EU AI Act) Uses insights from Alignment Theory (AT) research, which focuses on the potential pitfalls of technical alignment in Artificial Intelligence. As we apply these concepts to the EU AI Act, we uncover potential vulnerabilities and areas for improvement in the regulation.
  arXiv  Detail & Related papers  (2024-10-10T17:38:38Z)
• Strategic AI Governance: Insights from Leading Nations [0.0]
  Artificial Intelligence (AI) has the potential to revolutionize various sectors, yet its adoption is often hindered by concerns about data privacy, security, and the understanding of AI capabilities. This paper synthesizes AI governance approaches, strategic themes, and enablers and challenges for AI adoption by reviewing national AI strategies from leading nations.
  arXiv  Detail & Related papers  (2024-09-16T06:00:42Z)
• Open Problems in Technical AI Governance [102.19067750759471]
  Technical AI governance refers to technical analysis and tools for supporting the effective governance of AI.<n>This paper is intended as a resource for technical researchers or research funders looking to contribute to AI governance.
  arXiv  Detail & Related papers  (2024-07-20T21:13:56Z)
• International Institutions for Advanced AI [47.449762587672986]
  International institutions may have an important role to play in ensuring advanced AI systems benefit humanity. This paper identifies a set of governance functions that could be performed at an international level to address these challenges. It groups these functions into four institutional models that exhibit internal synergies and have precedents in existing organizations.
  arXiv  Detail & Related papers  (2023-07-10T16:55:55Z)
• Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation [61.77881142275982]
  This interdisciplinary position paper considers various concerns surrounding fairness and discrimination in AI, and discusses how AI regulations address them. We first look at AI and fairness through the lenses of law, (AI) industry, sociotechnology, and (moral) philosophy, and present various perspectives. We identify and propose the roles AI Regulation should take to make the endeavor of the AI Act a success in terms of AI fairness concerns.
  arXiv  Detail & Related papers  (2022-06-08T12:32:08Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.