March 12, 2025

News , Article

AI-Regulation

Regulating AI Proves to Be a Growing Challenge

To navigate the complexities of the AI regulatory landscape, establishing an international governance and regulatory framework is essential. AI is more than just a technological revolution; it involves global scientific, economic, cultural, political, and civic challenges. Addressing these issues requires extensive international cooperation and dialogue to establish standards and solutions for AI.

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At the international level, various initiatives have emerged in the past, such as the AI Action Summit (2025), the G7 Hiroshima AI Process (2023), the United Nations AI for Good Global Summit (2024), the Montreal Declaration on Responsible AI (2018), and the Bletchley Park Summit in 2023. Together, these initiatives contribute to a complex landscape where frameworks from one may potentially undermine the objectives of another. Many of the leading countries in AI innovation are focused on securing global dominance in the field. The United States passed the National AI Initiative Act in 2020 to maintain its leadership in AI research and development, while promoting widespread adoption across various industries.

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Global AI Race: Superpower Ambitions vs. Local Solutions

Similarly, China introduced its Next Generation AI Development Plan in 2017, with the goal of becoming an AI superpower by 2030. In 2021, the UK launched its National AI Strategy, aiming to position itself as a global leader in AI. However, the race to become an AI superpower could overshadow other critical issues, such as the development of ethical frameworks and a universally accepted governance system for AI. In many developing countries, the focus is not on achieving global dominance in AI, but on leveraging AI to address local challenges, improve public service delivery, strengthen healthcare systems, stimulate economic growth, generate employment, and safeguard the environment. Countries like India, Brazil, and South Africa have also established policy frameworks to govern AI.

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To navigate the complexities of the AI regulatory landscape, establishing an international governance and regulatory framework is essential. This remains critical even amid the challenges of deglobalisation, as recent geopolitical trends may lead to reduced global integration in certain areas. Most importantly, it would foster fair competition in the global AI race and address critical issues like control over vital AI technologies and ensuring equitable access to AI for all.