Smera Jayadeva
Profile Summary
Smera Jayadeva is a Researcher at the Alan Turing Institute and a Visiting Researcher at the Digital Environment Research Institute (DERI) at Queen Mary University of London.
She is a co-lead on the AI Ethics and Governance in Practice series, a bespoke training programme for the public sector on ethical AI innovation commissioned as an extension of the UK’s National AI Strategy. She has conducted investigative research for various UK public sector bodies, such as the UK’s generative AI framework, an independent review for the Department of Health and Social Care, and a framework on AI safety for the Department of Business and Trade. Internationally, she has drafted the Council of Europe’s Human Rights, Democracy, and Rule of Law Impact Assessment for AI Systems and carried out research for the Advancing Data Justice Research and Practice project for the Global Partnership on AI (GPAI). Smera is the co-host of ‘too long didn’t read’, a podcast aimed at demystifying advancements in AI and tech policy for a public audience.
Smera holds an International Master in Security, Intelligence and Strategic Studies (awarded with Distinction) jointly awarded by the University of Glasgow, Dublin City University, and Universita Karlova (Prague). She also holds a BA with a triple major in History, Economics, and Political Science from Christ University (Bengaluru).
Session Description
The Turing Institute - AI Ethics Governance in Practice Workshop
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With increasing utility of data-driven innovations and digital technologies, there is an interest to employ algorithmic and AI systems to improve public sector service delivery. However, there are ethical and policy challenges to consider when implementing AI for the public good. Join this interactive 1.5 hour workshop crafted to guide public sector policymakers and industry professionals in implementing safe, ethical, and responsible AI systems. You can learn how the principles of Sustainability, Fairness, Explainability, Safety, Responsible Data Stewardship, and Accountability are put into practice across the AI lifecycle. The workshop will focus on ethical reflection and governance implementation through activities and case-studies.
