November 9, 2023 AI Safety Summit Diary: How do we build a responsible and trustworthy international AI ecosystem? Author(s): Gina Neff UK-India Responsible AI Workshop at Royal Society | Credit Gina Neff In this final AI Safety Summit diary, Gina Neff discussed the lessons learned from UK-India Responsible and Trustworthy AI partnership meeting. Following the UK Government’s AI Safety Summit at Bletchley Park on Thursday (Nov 2), on Friday (Nov 3), I travelled to the Royal Society in London for the UK-India Responsible and Trustworthy AI partnership meeting. This gathering was a pivotal event in the realm of responsible AI governance and was supported by the UK government and co-chaired by Prof. Dame Wendy Hall, an absolute legend in the field. The organisers had set the primary objective of the session to bring together leading experts from academia and industry in both the UK and India, to: ‘facilitate insightful discussions on responsible and trustworthy AI governance, policy development, and work on a potential UK-India partnership.’ This was a really insightful event, for 3 reasons. The event brought lots of people together in one place. With Sue Daley, Director of Tech and Innovation at TechUK and Vidushi Marda, the founder of Real ML | Credit Gina Neff I had a fantastic conversation with so many people during this session, including with Vidushi Marda. Vidushi is an Indian lawyer and researcher who investigates the societal impact of artificial intelligence (AI) systems. She is co-building REAL ML (Research, Engagement, Advocacy & Lived Experience in Machine Learning). REAL ML is a non-profit organization that aims to ‘empower and connect a global interdisciplinary community to translate algorithmic accountability research into impactful interventions that benefit the public interest.’ The event highlighted to me the importance of having these types of conversations. Bringing together researchers to understand how we should shape the development of AI to benefit people, communities and society is crucial. For example, during one session, we examined how we can define the core principles of responsible AI policy. AI knows no national boundaries, and we are going to need to work together to build trustworthy AI ecosystems. Developing policy in a collaborate environment will create aligning policies and frameworks internationally. The work that we are doing at RAI UK is looking to build more bridges between responsible AI research in the UK and beyond. Bringing the research community together can help to solve some of the challenges of creating responsible, safe, trustworthy AI. The event demonstrated to me the essential role organisations like the Royal Society. I was so grateful for all of the work the Royal Society had done in the lead up and during the AI Safety Summit. For example, alongside this event, I took part in a brilliant panel last week on the relationship between science and AI safety. The Royal Society co-sponsored a prep meeting with DSIT for the AI Safety Summit and continually works to bring questions of how these issues might impact science and the work of scientists to these policy conversations. I’ve learned a lot working with the RS science policy team and am looking forward to doing more going forward. Fundamentally, the meeting encouraged me that the work of connecting people is central to the work of supporting responsible, trustworthy and safe AI. Read other posts from my AI Safety Summit Diary: Wednesday 25 October – AI Safety Summit Diary: the lead-up Thursday 26 October – AI Safety Summit Diary: A Prime Ministerial visit Monday 30 October- AI Safety Summit Diary: How do we ensure responsible AI? Tuesday 31 October – AI Safety Summit Diary: The Summit approaches… Wednesday 1 November – AI Safety Summit Diary: The here and now: The impact of AI on our lives Thursday 2 November – AI Safety Summit Diary: What’s next after the AI Safety Summit? Friday 3 November – AI Safety Summit Diary: How do we build a responsible and trustworthy international AI ecosystem?