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], privacy [1], and the responsible use of AI are critical to its development and implementation. This text explores the various aspects of AI governance, including the management of generative AI, the future of work [1], and the environmental impact of AI technologies.
Description
AI presents various risks that necessitate accountability from all stakeholders involved [1]. Key policy issues surrounding AI include data governance and privacy [1], which are critical for its responsible use [1]. The management of generative AI [1], including general-purpose models [2], involves balancing its risks and benefits [1], while the future of work will be significantly influenced by AI technologies [1].
To ensure trustworthy AI [1], the OECD has developed a synthetic measurement framework known as the AI Index and has recently updated its AI Principles to address the emergence of new AI technologies. Governments are encouraged to monitor AI incidents to better understand associated hazards [1], and expertise in data governance is essential for promoting the safe and equitable use of AI systems [1].
The responsible development and governance of human-centered AI systems is paramount [1]. Collaboration is vital for driving innovation and commercializing AI research into practical applications [1]. Additionally, the environmental impact of AI computing capacities must be considered [1]. The Irish Data Protection Commissioner has released guidelines concerning Large Language Models (LLMs) and data protection [2], while the British Standards Institution (BSI) has published Global Guidance for Responsible AI Management [2]. Furthermore, ISO/IEC has updated its AI standards [2], enhancing the global regulatory framework for AI [2].
AI has the potential to address urgent challenges in health systems [1]. The exploration of AI’s future possibilities is ongoing [1], with a focus on work [1], innovation [1], productivity [1], and skills in the AI sector [1]. Tools and metrics are available to assist in building and deploying trustworthy AI systems [1].
The OECD AI Principles represent the first intergovernmental standard aimed at fostering innovative and reliable AI [1]. Various publications and resources are available to support understanding and implementation of AI policies [1]. A network of global experts contributes to shaping these initiatives [1], while partnerships enhance collaborative efforts in AI governance [1]. European standardization organizations are also working on harmonized standards [2], although their release has been delayed and is not anticipated until the end of 2025 [2].
Conclusion
The implications of AI are vast, affecting numerous sectors including health, work [1], and the environment. Effective governance and collaboration among international bodies, governments [1], and organizations are essential to harness AI’s potential while mitigating its risks. The ongoing development of standards and guidelines will play a crucial role in shaping the future landscape of AI, ensuring it remains a tool for innovation and positive change.
References
[1] https://oecd.ai/en/community/mai-lynn-miller-nguyen
[2] https://www.mhc.ie/latest/insights/2024-in-review-key-legal-developments-in-ai
