Comparative Analysis of US and EU Mechanisms for AI Cooperation and Information Security Threat Prevention

The rapid advancement of artificial intelligence (AI) technologies has profound implications for international cooperation and competition dynamics. This research paper provides a comparative analysis of the contrasting regulatory approaches adopted by the European Union (EU) and the United States (US) towards AI governance. Amidst rising great-power rivalries, their divergent policy frameworks present distinct models with far-reaching implications for the global AI landscape. The EU has adopted a risk-based regulatory approach, aiming to ensure transparency, accountability, and respect for fundamental rights in AI development and deployment. In contrast, the US favours an industry-driven innovation model, with less interventionist policies and a focus on maintaining technological competitiveness. This divergence in regulatory approaches poses challenges for transatlantic cooperation on AI governance, diminishing the effectiveness of joint efforts to address the complexities and risks associated with AI technologies. Moreover, the divide between the European and American approaches emerges as a critical factor shaping the intensifying global "AI race" as nations and blocs vie for dominance in this strategically vital domain. Beyond economic implications, the research explores the security concerns arising from AI advancements, including autonomous weapons systems, cybersecurity vulnerabilities, and surveillance capabilities. Establishing appropriate norms and striking a balance between innovation and regulation remains an ongoing challenge for policymakers on both sides of the Atlantic. The study highlights the profound implications of AI leadership for the global balance of power and influence. It underscores the need for a responsible and collaborative approach that fosters technological progress while upholding ethical principles and societal welfare amidst the rapidly evolving global AI landscape. Ultimately, acknowledging divergences while valuing transatlantic cooperation emerges as crucial for maintaining a resilient relationship and shaping a future defined by AI's transformative potential.