Introduction
Artificial Intelligence (AI) presents a range of risks and opportunities that require careful management and accountability from all stakeholders. Key policy issues such as data governance [1] [2], privacy [1] [2], and the unique challenges posed by generative AI are critical for its responsible development and use. International efforts, including those by the OECD, aim to establish frameworks and principles to promote trustworthy AI practices.
Description
AI presents various risks that necessitate accountability from all stakeholders involved [1] [2]. Key policy issues surrounding AI include data governance and privacy [1] [2], which are critical for its responsible development and use [2]. Generative AI poses unique challenges that require careful management to effectively balance its risks and benefits [2]. The OECD has established a synthetic measurement framework aimed at promoting trustworthy AI [2], emphasizing the importance of tracking AI incidents and understanding associated hazards to mitigate risks effectively [1] [2].
Expertise in data governance is essential to ensure the safe and equitable use of data in AI systems [1] [2]. The OECD AI Principles represent the first international governmental organization standard designed to foster innovative and trustworthy AI practices [2]. Various publications and initiatives [2], such as the G7 Hiroshima AI Process Reporting Framework and the G7 Code of Conduct for Organizations Developing Advanced AI [2], contribute to shaping the future of AI governance [2].
The OECD is actively monitoring the implications of evolving technologies [2], including language models and generative AI [2], while providing resources like the AI Systems Classification Framework to aid in the understanding and categorization of AI systems [2]. Stakeholder perspectives on the opportunities and challenges posed by AI are also being explored to inform policy development and governance strategies [2]. Collaboration among experts and organizations is vital for driving innovation and commercializing AI research into practical applications, ensuring that the development of AI remains human-centered and responsible.
Additionally, the environmental implications of AI computing capacities are a growing concern [1], particularly regarding their climate impact [1]. In the health sector [1], AI has the potential to address urgent challenges faced by health systems [1], highlighting the ongoing exploration of AI’s future possibilities and the established principles aimed at fostering innovative and trustworthy AI practices [1].
Conclusion
The development and deployment of AI technologies have significant impacts and implications across various sectors. Effective governance and collaboration among international organizations, governments [2], and stakeholders are crucial to ensuring that AI technologies are developed responsibly and sustainably. By addressing key policy issues and fostering innovation, AI can be harnessed to benefit society while mitigating potential risks and environmental impacts.
References
[1] https://oecd.ai/en/incidents/2025-05-01-262e
[2] https://oecd.ai/en/community/audrey-plonk
