Madeleine led the AI ​​Field Initiative at Data & Society, where she and her team investigated the promises and risks of integrating AI technologies into society. Through ethnographic and human-centric research, AI in the field sheds light on the consequences of deploying AI systems beyond the research lab, examining who benefits, who gets hurt, and who is responsible. The initiative's work focused on how organizations cope with the challenges and opportunities of AI, from changing work practices and responsibilities to new ethical practices and forms of AI governance. . As a researcher and anthropologist, Madeleine has worked to reframe debates on the ethical design, use and governance of AI systems. Madeleine studies the opportunities and limitations of equity methods added to causal modeling.

Emily is a senior researcher in Google's AI Ethics team, where she studies the societal impacts of machine learning and AI technology. My recent research focuses on critically examining the standards, values, and work practices that structure the development and use of machine learning datasets. She was deeply touched by the questionable dismissal of her managers Timnit Gebru and Margareth Mitchell.

Allessandro is interested in how the brain makes complex decisions, such as decisions about novel items whose value has not been learned by extensive practice. Additionnaly, he is also interested in how the brain encodes and processes complex cognitive representations and use them to make inferences. He brings a special attention to how such thinking and decision-making are influenced by motivational factors. He is intrigued by the similarities in cognition between humans and other primates, as well as by the differences between biological and artificial decision-makers. His research has combined non-invasive tools in non-human primates, such as functional MRI and transcranial ultrasound stimulation, with computational modeling.

Dr Michael Veale completed his EPSRC-funded PhD in Machine Learning in the Responsible Public Sector at University College London, specializing in the fairness and accountability of data-driven tools in the public sector, as well as the interplay between data-centric technologies and data protection law. His research and publications focus on technology and privacy law, human-computer interaction, computing and science policy. His research in these areas has been used by international agencies, regulators and governments, featured in the media and debated in Parliament.