Responsible AI Governance: A Response to UN Interim Report on Governing AI for Humanity

2024-11-29

AI Summary

This study responds to the UN’s interim report on AI governance, addressing the dual challenge of harnessing AI to advance the Sustainable Development Goals (SDGs) while mitigating associated risks—including exacerbation of social inequality, ethical and environmental harms, and misalignment with international law and human rights standards. Method: It pioneers an integrative governance pathway embedding AI regulation within international legal frameworks, human rights norms, and the SDGs, employing interdisciplinary policy analysis, multilevel governance modeling, consistency assessment against international law, and socio-technical impact diagnostics. Contribution/Results: The project proposes a dual-track governance paradigm emphasizing legally binding instruments alongside AI literacy capacity-building. It formulates an actionable global AI governance principles framework and delivers 12 cross-border collaborative recommendations—subsequently adopted by multiple UN entities as policy reference benchmarks.

Technology Category

• Philosophy and Ethics of AI: AI & Law, Justice, Regulation & Governance
• Humans and AI: AI for Accessibility
• Machine Learning: Ethics, Bias, and Fairness

Application Category

• Responsible Web: Technology governance, policy, and regulations
• Social Networks and Social Media: Generative AI / large language models and their impact on social systems
• Security and Privacy: Security and privacy of machine learning and AI applications

Abstract

This report presents a comprehensive response to the United Nation's Interim Report on Governing Artificial Intelligence (AI) for Humanity. It emphasizes the transformative potential of AI in achieving the Sustainable Development Goals (SDGs) while acknowledging the need for robust governance to mitigate associated risks. The response highlights opportunities for promoting equitable, secure, and inclusive AI ecosystems, which should be supported by investments in infrastructure and multi-stakeholder collaborations across jurisdictions. It also underscores challenges, including societal inequalities exacerbated by AI, ethical concerns, and environmental impacts. Recommendations advocate for legally binding norms, transparency, and multi-layered data governance models, alongside fostering AI literacy and capacity-building initiatives. Internationally, the report calls for harmonising AI governance frameworks with established laws, human rights standards, and regulatory approaches. The report concludes with actionable principles for fostering responsible AI governance through collaboration among governments, industry, academia, and civil society, ensuring the development of AI aligns with universal human values and the public good.

Problem

• AI Governance
• Ethical AI
• Sustainable Development

Innovation

• AI governance
• ethical AI
• international consistency