UNIDO AIM Global Forum

9–13 Dec 2024 | Vienna, Austria

Zoi Roupakia

Policy and AI Research Lead

IfM Engage Ltd

Cambridge, United Kingdom

On-site

AI and innovation policy expert at Cambridge, co-author of the Manifesto for Global Industrial Safety, and contributor to the Center for AI & Digital Policy

My organisation

IfM Engage Ltd

IfM Engage Ltd

Other

Cambridge, United Kingdom

IfM Engage partners with organisations across industry, government and academia to support them in solving complex challenges, using approaches and knowledge developed at the Institute for Manufacturing (IfM), a division of the University of Cambridge’s Department of Engineering. IfM Engage offerings are grounded in exceptional research, combined with a breadth of industrial expertise. Our mission is knowledge transfer, helping the people and organisations we work with to develop their capabilities and build the future of manufacturing.
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About me

Zoi Roupakia is a Policy and AI Research Lead at the University of Cambridge's Institute for Manufacturing, where she leads evidence-based policy research on innovation and technology. As a Policy Affiliate at Cambridge Industrial Innovation Policy (IfM Engage), she provides expertise in AI and industrial digital technologies to support global innovation policy initiatives. She was co-author of the first Manifesto for Global Industrial Safety, collaborating with UNIDO, Lloyd's Register Foundation, and GMIS. Her research experience includes machine learning work at Google, where she was awarded a patent in voice conversion methods, and speech recognition research at the University of Cambridge Engineering Department. She participated as an invited AI expert in the 16th UN Economic Commission for Europe's Team of Specialists on Innovation. Currently, she is also a Research Group Member at the Centre for AI and Digital Policy, Washington, contributing to their AI Policy Clinic. Her work spans innovation policy, digitalisation, and responsible AI.

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Skills

  • AI policy
  • innovation policy
  • Machine Learning

Interests

  • AI policy
  • Machine Learning
  • AI for policymaking
  • innovation policy
  • Digital divide