How Countries Collaborate on AI Initiatives

#AI Safety Institute International Network: Next Steps & Recommendations With less than three weeks until AI experts from nine countries come to San Francisco, this is a timely deep dive into key discussion topics for the network of AI Safety Institutes (AISI). The Center for Strategic and International Studies (CSIS) outlines nine questions and recommendations for driving this initiative forward. Key Questions: 🔹 Goals of Collaboration What are the AISI network's target outcomes, and when can we expect progress? With clear priorities, this network could maximize returns on collaboration efforts. 🔹 Mechanisms of Collaboration How will this network operate? The success of AISI hinges on defining leadership, coordination structures, and methods for knowledge sharing. 🔹 International Strategy How will the AISI network align with or distinguish itself from other global AI initiatives? A coordinated strategy could enhance its impact within the crowded AI governance landscape, integrating smoothly with efforts from bodies like the OECD and UN.

For the past year, I’ve had the privilege of co-chairing together with Carme Artigas the UN’s High-level Advisory Body on AI,which included 38 members from 33 countries. We were tasked with developing a blueprint for sharing AI’s transformative potential globally, while identifying and addressing the risks and filling the gaps that limit participation.  Following our interim report in Dec 2023, today we’re sharing our final report which outlines our key findings and recommendations to enhance global cooperation on AI governance. The report was informed by extensive consultation, including more than 2000 participants from all regions, 18 deep dives with 500 expert participants, 250 written submissions, 100+ virtual discussions, as well as research and surveys. AI has the potential to assist people in everyday tasks to their productive and creative endeavors, enable entrepreneurs and small and large businesses, transformation of sectors from healthcare to agriculture, power economic growth, advance science in ways that benefit society, and contribute to achieving the UN’s Sustainable Development Goals. At the same time, as with any powerful technology, it poses risks, challenges and complexities ranging from bias, misapplication and misuse, impact on work, to potentially widening global inequities. Our work highlighted many of these themes as well as key gaps in governance and the capacity for all to fully benefit from AI.  To harness AI’s potential and mitigate its risks, we need a truly inclusive and international effort – and current governance structures are missing too many voices. Our recommendations focus on these and other findings and I encourage you to read the report. Thank you to the UN’s Tech Envoy Amandeep Gill and his team, my co-chair Carme Artigas, and my fellow members of the advisory body -- from whom I learned a lot -- for their expertise and diverse views and vantage points, partnership, persistence and commitment to governing and harnessing AI’s potential benefits for all of humanity. https://lnkd.in/gFhFWWEh Carme Artigas, Anna Christmann, Anna Abramova, Omar Sultan AlOlama, @Latifa Al-Abdulkarim, Estela Aranha, Ran Balicer, Paolo Benanti, Abeba Birhane, Ian Bremmer, Anna Christmann,Natasha Crampton, Nighat Dad, Vilas Dhar, Virginia Dignum, @Arisa Ema, @mohamed farahat, Wendy Hall, Rahaf Harfoush, Hiroaki Kitano, Haksoo Ko, Andreas Krause, Maria Vanina Martinez, Seydina M. Ndiaye, @Moussa Ndiaye, Mira Murati, Petri Myllymäki, Alondra Nelson, Nazneen Rajani, Craig Ramlal, @Ruimin He, Emma Ruttkamp-Bloem, Marietje Schaake, @Sharad Sharma, @Jaan Tallinn, Ambassador Philip Thigo, MBS, Jimena Viveros LL.M., Yi Zeng, @Zhang Linghan

The G7 Toolkit for Artificial Intelligence in the Public Sector, prepared by the OECD.AI and UNESCO, provides a structured framework for guiding governments in the responsible use of AI and aims to balance the opportunities & risks of AI across public services. ✅ a resource for public officials seeking to leverage AI while balancing risks. It emphasizes ethical, human-centric development w/appropriate governance frameworks, transparency,& public trust. ✅ promotes collaborative/flexible strategies to ensure AI's positive societal impact. ✅will influence policy decisions as governments aim to make public sectors more efficient, responsive, & accountable through AI. Key Insights/Recommendations: 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 & 𝐍𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐞𝐬: ➡️importance of national AI strategies that integrate infrastructure, data governance, & ethical guidelines. ➡️ different G7 countries adopt diverse governance structures—some opt for decentralized governance; others have a single leading institution coordinating AI efforts. 𝐁𝐞𝐧𝐞𝐟𝐢𝐭𝐬 & 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 ➡️ AI can enhance public services, policymaking efficiency, & transparency, but governments to address concerns around security, privacy, bias, & misuse. ➡️ AI usage in areas like healthcare, welfare, & administrative efficiency demonstrates its potential; ethical risks like discrimination or lack of transparency are a challenge. 𝐄𝐭𝐡𝐢𝐜𝐚𝐥 𝐆𝐮𝐢𝐝𝐞𝐥𝐢𝐧𝐞𝐬 & 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬 ➡️ focus on human-centric AI development while ensuring fairness, transparency, & privacy. ➡️Some members have adopted additional frameworks like algorithmic transparency standards & impact assessments to govern AI's role in decision-making. 𝐏𝐮𝐛𝐥𝐢𝐜 𝐒𝐞𝐜𝐭𝐨𝐫 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 ➡️provides a phased roadmap for developing AI solutions—from framing the problem, prototyping, & piloting solutions to scaling up and monitoring their outcomes. ➡️ engagement + stakeholder input is critical throughout this journey to ensure user needs are met & trust is built. 𝐄𝐱𝐚𝐦𝐩𝐥𝐞𝐬 𝐨𝐟 𝐀𝐈 𝐢𝐧 𝐔𝐬𝐞 ➡️Use cases include AI tools in policy drafting, public service automation, & fraud prevention. The UK’s Algorithmic Transparency Recording Standard (ATRS) and Canada's AI impact assessments serve as examples of operational frameworks. 𝐃𝐚𝐭𝐚 & 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞: ➡️G7 members to open up government datasets & ensure interoperability. ➡️Countries are investing in technical infrastructure to support digital transformation, such as shared data centers and cloud platforms. 𝐅𝐮𝐭𝐮𝐫𝐞 𝐎𝐮𝐭𝐥𝐨𝐨𝐤 & 𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧: ➡️ importance of collaboration across G7 members & international bodies like the EU and Global Partnership on Artificial Intelligence (GPAI) to advance responsible AI. ➡️Governments are encouraged to adopt incremental approaches, using pilot projects & regulatory sandboxes to mitigate risks & scale successful initiatives gradually.