Decoding the Future: Trustworthy Governance with AI?
9 - 11 July 2024 | Imperial College London
Data for Policy 2024 Conference
Data for Policy CIC is delighted to work in collaboration with Imperial Policy Forum and Cambridge University Press for the eighth edition of the premier conference series, to be held at Imperial College London from July 9th to 11th, 2024.
In an era marked by the pervasive influence of data-driven AI tools, the conference will bring together global experts from academia, industry and policy to explore how AI can foster trustworthy decision-making and governance.
Data for Policy CIC are thrilled by the overwhelming response to the Call for Contributions, with a plethora of high-quality submissions pouring in from around the world. Following a rigorous review process, Data for Policy CIC have curated an engaging programme comprising approximately 150 presentations over three days for this year’s conference.
The final programme will feature a dynamic blend of peer-reviewed expert contributions and thought-provoking debates, offering insights into the operational and technical paradigms of human-machine collaboration in decision-making and governance. The discussions will traverse the realms of ‘tool AI,’ ‘agent AI,’ and the ‘regulation of AI,’ fostering a comprehensive outlook on the future of critical decision-making, while addressing the myriad opportunities and challenges posed by AI-driven transformations.
Featured participants of this year’s conference include:
- Jennifer Prendki, Google DeepMind
- Russell Wald, Stanford Human-Centred Artificial Intelligence (HAI)
- Lord Holmes of Richmond, House of Lords, UK
- Aldo Faisal, Imperial College and The Alan Turing Institute
- Joel Martin, National Research Council Canada
- Masaru Yarime, Hong Kong University of Science and Technology (HKUST)
- Stefaan Verhulst, GovLab, New York University (NYU)
- Gianluca Misuraca, AI4Gov, Universidad Politécnica de Madrid, Spain
- Jon Crowcroft, University of Cambridge and The Alan Turing Institute
- Barbara Ubaldi, OECD – Organisation for Economic Co-operation and Development
- Merve Hickok, Centre for AI and Digital Policy (CAIDP)
- Andrea Renda, Centre for European Policy Studies (CEPS)
- Friederike Schüür, UNICEF – United Nations Children’s Fund
- Maria Perez Ortiz, University College London (UCL)
- Rossella Arcucci, Imperial College London
- Katharina Weitz, Focus Group on AI for Natural Disaster Management (FG-AI4NDM)
- Robin Lamboli, Imperial College London
- Massimo Bonavita, European Centre for Medium-Range Weather Forecasts (ECMWF)
- Sonia Cooper, Open Innovation Team at Microsoft
- Gina Neff, Minderoo Centre for Technology & Democracy, University of Cambridge
- Elena Simperl, Open Data Institute
- Torbjörn Fredriksson, UN Trade & Development
- Dorothea Kleine, University of Sheffield
- David Hand, Imperial College London
- Rachel Adams, Global Index on Responsible AI
- Jane Mariara, Partnership for Economic Policy (PEP-NET)
- Samia Melhem, The World Bank
- Joshua Ariga, Bill & Melinda Gates Foundation
- Roger Scott-Douglas, National Research Council of Canada
- Mark Kennedy, Imperial College London
- Innar Liiv, Tallinn University of Technology, Estonia
- Francesco Mureddu, The Lisbon Council
- Yves-Alexandre de Montjoye, Imperial College London
- Alex Fisher, Australia National University
- Sally Cripps, University of Sydney
- Sir Geoff Mulgan, University College London
More details of the conference programme will be announced on the Data for Policy Conference webpage.
For opportunities to support the conference through partnership please read Data for Policy partnerships document for 2024.
Registration
Presenters are requested to register by 7 June 2024. Deadline for all registration is 20 June 2024.
Photo by Steve Johnson on Unsplash