CYAINov 29, 2024

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

arXiv:2412.12108v35 citationsh-index: 13
Originality Synthesis-oriented
AI Analysis

It addresses the problem of governing AI responsibly for humanity, focusing on mitigating risks and promoting equity, but is incremental as it builds on existing UN frameworks.

This report responds to the UN's interim report on AI governance, emphasizing AI's potential to advance Sustainable Development Goals while addressing risks through robust governance, and recommends legally binding norms, transparency, and multi-stakeholder collaboration to align AI with human values.

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.

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The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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