Date: Tuesday 12 November 2024 – 15:00 (Europe/London)
Speaker: Antonella Perini, Dr Ann Borda, Smera Jayadeva, Alan Turing Institute
Abstract
The artificial intelligence project lifecycle is affected by the intertwined relation between technology and social structures (e.g. the people in the AI project and the environment in which the project team operates). Both elements interact and influence each other.
Acknowledging data-driven technologies as both social and technical constructs is important, because it prompts us to recognise that, from the earliest stages of the AI project lifecycle, human choices, interests, and values are integrated into AI project design, model development, and system deployment. In this session, researchers form The Alan Turing Institute will introduce participants to the AI Ethics and Governance in Practice Programme, which provides the tools, training, and support to carry out projects that apply principles of AI ethics and safety to the design, development, and deployment of algorithmic systems. These include sustainability, fairness, technical safety, accountability, explainability, and data stewardship. Attendees will also engage in discussions around the challenges and opportunities for AI innovation, and how to ensure that AI is produced and used ethically, safely, and responsibly.
Biography
Antonella Maia Perini is a Research Associate in the Public Policy Programme of the Alan Turing Institute. At the Turing, she contributes to the Ethics and Responsible Innovation theme, where she does research on the ethical and social implications of the design and use of AI and data-intensive technologies and collaborates in the co-creation and operationalisation of pioneering approaches to AI ethics, policy, and governance. Within her role, she has done research on equity in AI-enabled medical devices and co-developed a bespoke programme designed to equip the public sector with tools, training, and support for adopting the government’s official public sector guidance on AI ethics and safety.
Dr Ann Borda is an Ethics Fellow in the Public Policy Programme at The Alan Turing Institute. Prior to joining the Institute, Ann held senior positions in government-funded data-intensive initiatives in Australia and the UK. In the UK, she managed a significant digital collections programme across the Science Museum London and other national museums promoting public understanding of science, society, and medical discovery. She subsequently worked on a major Research Council co-funded eScience programme at JISC supporting big data tools and national digital services for higher education, such as the former Open Source Software Advisory Service at Oxford and the AHRC-funded Arts and Humanities eScience Centre at Kings College London.
Smera Jayadeva is a Researcher in Data Justice and Global Ethical Futures
under the Public Policy Programme of the Alan Turing Institute. She has supported research and engagement activities for various projects including the Advancing Data Justice in Research and Practice, Equity in Medical Devices with the Department of Health and Social Care, Safe and Effective Use of AI with the Department for Business and Trade, and the AI Ethics and Governance in Practice Programme. She is a co-host of the Turing’s ‘too long; didn’t read’ podcast which aims to demystify developments in technology, data science, and AI for a general audience. Smera has been supporting the growth as a primary organiser of the Data Ethics Group, the Turing’s largest interest group.
