Antonella Perini
Profile Summary
Antonella Maia Perini is a Research Associate at the Turing’s Public Policy Programme and a Visiting Research Associate at the Digital Environment Research Institute at Queen Mary University of London. She is an interdisciplinary social scientist, specialising in internet studies and AI policy and governance.
At the Turing, Antonella’s research of the sociotechnical implications of data-driven and AI technologies has informed evidence-based analyses, including a rapid review of health equity in AI-enabled medical devices, commissioned by an Independent Review Panel for the Department of Health and Social Care, the development of a critical framework to inform the assessment of socio-technical risks and harms of these technologies, and the analysis of the impacts of generative AI on freelance creative workers in the UK. She also analyses the AI policy, governance and regulatory landscape, identifying emerging trends, risks and opportunities. Furthermore, Antonella has contributed to refining and piloting the Council of Europe’s Human Rights, Democracy, and the Rule of Law Impact Assessment for AI systems and co-developed the AI Ethics and Governance in Practice programme, a bespoke programme that provides the public sector with the skills, tools and actionable end-to-end governance framework required to adopt cutting-edge practices in responsible and trustworthy AI innovation for optimal public benefit.
Antonella holds a BA in International Relations from Universidad de San Andrés (Argentina), an MA in International Relations from the University of Bologna, and an MSc in Social Science of the Internet from the University of Oxford.
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.
