Data for Policy 2024 – Decoding the Future: Trustworthy Governance with AI?

We are delighted to launch Data for Policy 2024, in collaboration with Imperial College London and Cambridge University Press. In this edition, we are focusing on the future of governance and decision making with AI. We have posed the overarching theme, “Trustworthy Governance with AI?”, as a question to provide room for  two types of conversations. Firstly, what are the emerging capabilities, use cases, and best practices enabling innovation that could contribute to improved governance with AI? Secondly, what concerns are being raised regarding these advancements in areas such as data, algorithms, privacy, security, fairness, and potential risks? For both discussions, we invite proposals that delve into the role and capacity of governance in preventing AI-related harms and explore the potential for governance to generate added value through responsible AI deployment. For a more thorough consideration of the conference theme, please read this informative blog, by Zeynep Engin and conference co-chairs.

We invite researchers, practitioners, and policymakers to join us in charting a path towards more trustworthy decision-making and governance with the transformative potential of AI. We are seeking conference submissions that transcend boundaries, from cutting-edge generative AI technologies re-shaping government-citizen interactions to enhanced surveillance capabilities that influence centralised power dynamics. In a world where AI-powered technologies are becoming integral to critical decision-making processes, it is time to chart a new course.

We welcome submissions covering a wide range of topics, including but not limited to:

• AI applications for policy formulation and implementation
• Impact of Generative AI on public service delivery and citizen engagement
• Machine agency in governance and decision-making
• Human-AI collaboration and decision-making in governance
• AI-driven decision support systems for public administration
• Legal and regulatory frameworks for AI in governance
• Safety, transparency, fairness, accountability, and trust in AI-driven decision-making
• Data and infrastructure technologies working in tandem with AI to transform decision-making in governance (chatbots, platforms, distributed ledger systems, digital twins, augmented reality, etc.)
• Governance models and frameworks for effective utilisation of AI options in decision-making processes to enhance good governance practices

The Data for Policy conference series is the premier global forum for multiple disciplinary and cross-sector discussions around the theories, applications and implications of data science innovation in governance and the public sector. The general chairs Dr Zeynep Engin (Founder, Data for Policy), Jon Crowcroft (University of Cambridge) and Stefaan Verhulst (NYU) are delighted to be working with local chairs from our host Imperial College, Professor Mark Kennedy and Dr Rosella Arcucci for the 2024 edition in this conference series. Data for Policy is an independent non-profit initiative, registered as a community interest company in the UK.

For any enquiries or further information, please contact team@dataforpolicy.org