The Future of AI Governance

Olayinka Erin ()
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Olayinka Erin: University of Johannesburg, Department of Accountancy, College of Business and Economics

Chapter 10 in AI and Accountability, 2026, pp 191-207 from Springer

Abstract: Abstract The rapid evolution of artificial intelligence (AI) has generated both unprecedented opportunities and complex governance challenges. This study examines the future of AI governance by analyzing existing regulatory frameworks, identifying governance gaps, and proposing adaptive approaches that balance innovation with ethical responsibility. Using a qualitative, comparative policy analysis, the research focuses on the European Union (EU), United States (US), and China, alongside international organizations such as the OECD and UNESCO. Data were derived from academic publications, regulatory documents, and policy reports published between 2017 and 2023, enabling a thematic evaluation of divergent governance models, ethical principles, accountability mechanisms, stakeholder inclusion, adaptive regulation, and international cooperation. The findings highlight significant divergences in governance: the EU’s risk-based and rights-oriented AI Act, the US’s decentralized and industry-driven model, and China’s centralized, state-controlled approach. While ethical principles such as fairness, transparency, and accountability are widely endorsed, enforcement gaps persist, raising concerns of “ethics washing.” Liability frameworks remain underdeveloped, and stakeholder participation is uneven, with limited inclusivity in authoritarian contexts. Adaptive mechanisms such as regulatory sandboxes and public–private partnerships show promise but require further empirical validation. Moreover, global cooperation is hampered by geopolitical competition, producing fragmented governance regimes. The study concludes that effective AI governance demands a global, multidisciplinary, and inclusive approach that integrates legal clarity, ethical safeguards, and adaptive oversight. Policy implications include the creation of interoperable global standards, enforceable liability mechanisms, binding ethical requirements, stakeholder-inclusive councils, and expanded regulatory sandboxes. By embedding fairness, accountability, and human rights into governance structures, societies can harness AI’s benefits while mitigating its risks and safeguarding democratic values.

Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:csrchp:978-3-032-20091-4_10

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DOI: 10.1007/978-3-032-20091-4_10

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