Introduction
Artificial Intelligence (AI) presents a range of risks and opportunities that require accountability and responsible management from all stakeholders. Key policy issues include data governance [2], privacy [1] [2], and the balance of risks and benefits associated with generative AI. Various frameworks and initiatives have been developed to enhance transparency, accountability [2], and the responsible use of AI technologies.
Description
AI presents various risks that necessitate accountability from all stakeholders involved [2]. Key policy issues surrounding AI include data governance and privacy [2], which are critical for ensuring responsible use [2]. The management of generative AI involves balancing its risks and benefits effectively [2]. The OECD has developed a voluntary reporting framework for trustworthy AI [1], collaborating with experts from various sectors to enhance accountability and transparency.
The impact of AI on the workforce and working environments is significant [2], prompting discussions on the future of work [2]. The OECD AI Capability Indicators offer a means to assess AI’s capabilities across human tasks in education [1], work [1] [2], and society [1]. The OECD AI Index aims to establish a framework for measuring Trustworthy AI [2], while governments are encouraged to monitor AI incidents through the OECD AI Incidents Monitor (AIM) to better understand associated hazards.
Expertise in data governance is essential for promoting the safe and equitable use of AI technologies [2]. Research has been conducted on the privacy risks and opportunities arising from AI advancements [1], aligning with the OECD Privacy Guidelines and AI Principles [1]. The development and governance of human-centered AI systems must be approached responsibly [2], with a precise and adaptable definition of AI incidents necessary to mitigate risks [1].
Collaboration is vital for driving innovation and commercializing AI research into practical applications [2]. The environmental implications of AI computing capabilities are also a concern [2], particularly regarding climate impact [2]. In the health sector [2], AI has the potential to address pressing challenges faced by health systems [2]. The exploration of AI’s future trajectories is ongoing [2], with initiatives like the WIPS program focusing on work [2], innovation [1] [2], productivity [2], and skills in AI [2], alongside an Expert Group on AI Futures examining the potential benefits and risks associated with AI technologies [1].
Tools and metrics for building trustworthy AI systems are being cataloged [2], and the AI Incidents and Hazards Monitor provides insights into global AI-related incidents [2]. The OECD AI Principles represent a pioneering standard for promoting innovative and trustworthy AI practices [2]. Various policy areas related to AI are being explored [2], with numerous publications and resources available for further information [2].
An interactive platform dedicated to fostering trustworthy [2], human-centric AI is available [2], alongside the GPAI initiative [2], which integrates efforts from OECD member countries to enhance AI collaboration [2]. The UK government has introduced an AI white paper aimed at promoting responsible innovation and maintaining public trust in AI technologies [1], while the EU Commission has proposed a comprehensive legal framework for AI [1], addressing associated risks and positioning Europe as a leader in the global AI landscape [1]. A community of global experts contributes to these initiatives [2], supported by various partners [2].
Conclusion
The development and implementation of AI technologies have significant implications for various sectors, including workforce dynamics, environmental sustainability, and healthcare. By fostering collaboration and establishing robust frameworks, stakeholders can ensure that AI technologies are used responsibly and effectively, promoting innovation while safeguarding public trust and addressing potential risks.
References
[1] https://oecd.ai/en/generative-ai
[2] https://oecd.ai/en/incidents/2025-06-10-7bfa
