Join the Open Data Institute (ODI) for the online launch of our ODI European Data and AI Policy Manifesto. This event will explore the rapidly evolving data and AI landscape in Europe and the regulatory challenges shaping its future.
The webinar takes place as we launch the ODI's EU Data and AI Manifesto, based on its six core principles for open, trustworthy data ecosystems: strong data infrastructure, open data, trust, independent oversight, a diverse and inclusive data ecosystem, and support from skilled, knowledgeable data leaders.
The discussion will examine and discuss the divergent policy approaches emerging across the EU, UK, and US, and explore how legislators can strike the right balance between enabling innovation, maintaining global competitiveness, and ensuring regulation remains proportionate and socially beneficial. We will also consider the European Commission’s renewed focus on long-term competitiveness, as set out in its recently launched Competitiveness Compass. Through this conversation, we aim to explore how these principles can complement the EU’s ambitions and help create a thriving, competitive, and fair digital future for Europe.
The session will be hosted by the ODI’s policy team and will feature a 45-minute panel discussion followed by a live audience Q&A.
Speakers
Dr Ann Kristin Glenster is Executive Director of the Glenlead Centre, Deputy Director of the Minderoo Centre for Technology and Democracy, and an affiliate of the Centre for Intellectual Property and Information Law at the University of Cambridge.
Ann Kristin is an expert on data protection, privacy, cybersecurity, and intellectual property in relation to AI governance and regulation of the infosphere and digital infrastructure. She is currently researching the relationship between epistemic rights, deceptive design, and neurotechnologies. She takes a great interest in the integrity of research and use of technology in education and sits on the Editorial Board of the special journal issue Generative AI in Education to be published by AI & Society.
As a policy advisor for several organisations, Ann Kristin has authored several reports and made policy recommendations to the UK Parliament, government departments, European Parliament, European Commission, US Federal Trade Commission, US Consumer Financial Protection Bureau, and the United Nations. She is a member of the Pool of Experts to the European Data Protection Board.
Ann Kristin holds a PhD in law from the University of Cambridge and conducted doctoral research at the Harvard Law School. She has taught at the University of Cambridge, University of Oxford, Imperial College London, London School of Economics and Political Science (LSE), Brown University, and Harvard University.
Mike Pisa works on global economic policy issues at Google, focusing on the economic impact of digital technologies. Earlier in his career, Mike worked at the US Treasury Department, where he served as a senior advisor in the Office of International Affairs and deputy director of the Office of International Finance. Most recently, he was a fellow at the Center for Global Development, where he researched the relationship between digital governance and economic growth. He has a Ph.D. from the University of California, San Diego.
Professor Elena Simperl is the ODI’s Director of Research and a Professor of Computer Science at King’s College London. She is also a Fellow of the British Computer Society, a Fellow of the Royal Society of Arts, a senior member of the Society for the Study of AI and Simulation of Behaviour, and a Hans Fischer Senior Fellow.
Elena’s research is in human-centric AI, exploring socio-technical questions around the management, use, and governance of data in AI applications. According to AMiner, she is in the top 100 most influential scholars in knowledge engineering of the last decade. She also features in the Women in AI 2000 ranking.
In her 15-year career, she has led 14 national and international research projects, contributing to another 26. She leads the ODI’s programme of research on data-centric AI, which studies and designs the socio-technical data infrastructure of AI models and applications. Elena chaired several conferences in artificial intelligence, social computing, and data innovation. She is the president of the Semantic Web Science Association.
Elena is passionate about ensuring that AI technologies and applications allow everyone to take advantage of their opportunities, whether that is by making AI more participatory by design, investing in novel AI literacy interventions, or paying more attention to the stewardship and governance of data in AI.