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SUMMARY:AI Governance and Regulation: Comparing EU\, US\, and China’s Mo
 dels and global initiatives - Dr. Nicola Palladino\, University of Salerno
DTSTART:20250709T080000Z
DTEND:20250709T093000Z
UID:TALK234160@talks.cam.ac.uk
CONTACT:Pietro Lio
DESCRIPTION:AI governance is increasingly shaped by a complex interplay of
  normative approaches. While high-level principles such as fairness\, tran
 sparency\, accountability\, and safety are widely recognized across govern
 ance frameworks\, their implementation varies significantly. The growing g
 eopolitical significance of AI has driven governments to develop distinct 
 strategies and policies\, giving rise to 3 main models of AI governance. T
 he Neoliberal Model\, championed by the United States\, prioritizes market
 -driven innovation\, industry self-regulation\, and minimal government int
 ervention. Digital Sovereignty\, exemplified by China\, reflects a state-c
 ontrolled and security-driven approach that emphasizes data localization a
 nd algorithmic transparency tailored to government priorities\, particular
 ly in information control and social stability. The European Union’s Dig
 ital Constitutionalism model embeds fundamental rights and democratic over
 sight into AI regulation\, aiming for human-centric\, trustworthy\, and ac
 countable AI governance. However\, the boundaries between these governance
  paradigms are increasingly blurring. Under the Biden administration\, the
  U.S. briefly moved closer to the EU model before reverting to a neolibera
 l stance\, leveraging Big Tech as proxies of power and security actors. Th
 e EU struggles to balance its ambition to lead in Trustworthy AI with comp
 etitiveness and security concerns. China\, while maintaining strict state 
 control\, has introduced selective innovation incentives and consumer righ
 ts protections with distinct "Chinese characteristics." Rather than foster
 ing a cross-fertilization of these models\, these shifting boundaries appe
 ar to reflect escalating geopolitical tensions\, making international cons
 ensus on AI governance increasingly difficult to achieve.
LOCATION:Computer Laboratory\, William Gates Building\, Room FW26
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