Being Human in the Age of AI

I  am an Assistant Professor of Philosophy at Georgetown University. I am  also a Research Professor in Georgetown's Center for Digital Ethics.

My  areas of specialization are in the ethics of AI and in epistemology.

My  research concerns the ethical, political, and epistemic implications of  contemporary and near-term AI systems, particularly those developed  using machine learning techniques. More specifically, I have written  about algorithmic fairness and explainable AI. I also maintain a  research program in the epistemology of inquiry. My work has been  published in AAAI/ACM conference proceedings and in leading philosophy  journals, including Noûs, Philosophical Studies, and Philosophy of  Science.

Dr Eve Hayes de Kalaf was, until recently, a Research Fellow on the AHRC-funded project The Windrush Scandal in a Transnational and Commonwealth Context based in History and Policy at the Institute of Historical Research. In 2018, Eve completed her PhD at the University of Aberdeen while teaching on courses in Sociology, Social Policy, Politics and International Relations at the School of Social and Political Science, University of Edinburgh. Recent public engagement events include leading a roundtable at the World Conference on Statelessness, Kuala Lumpur on digital exclusion (February 2024), an invitation to speak to British government officials on at the Westminster Forum Projects policy conference ‘Next steps for Digital Identities in the UK’ (March 2024) and a presentation at The British International Studies Association on the panel Citizenship: A Barrier to Rights and Inclusion (June 2023). Dr Hayes de Kalaf’s contributions were also included in the Department for Science, Innovation and Technology’s findings report ‘Public dialogue on trust in digital identity services’ (February 2024). Eve is particularly interested in how states are documenting and identifying populations and the impact of social policy practices on questions of race, citizenship and belonging.

Professor  Shannon Vallor holds the Baillie Gifford Chair in the Ethics of Data  and Artificial Intelligence in the University of Edinburgh’s Department  of Philosophy. She is Director of the Centre for Technomoral Futures in  the Edinburgh Futures Institute, and co-Director of the UKRI BRAID  (Bridging Responsible AI Divides) programme. Professor Vallor's research  explores the ethical challenges and opportunities posed by new uses of  data and AI, and how these technologies reshape human moral and  intellectual character. She is a former AI Ethicist at Google, and  advises numerous academic, government and industry bodies on the ethical  design and use of AI. She is the author of Technology and the Virtues: A Philosophical Guide to a Future Worth Wanting (Oxford University Press, 2016), and The AI Mirror (Oxford University Press, 2024).

Geoff Keeling is a Senior Research Scientist at Google Research and an Associate Fellow at the Leverhulme Centre for the Future of Intelligence at the University of Cambridge. His research covers a range of disputes in the ethics of artificial intelligence including algorithmic bias, digital manipulation, and the ethics of autonomous vehicle decision-making. Prior to Google, Geoff was a Research Fellow at Stanford University, based between the McCoy Family Center for Ethics in Society and the Institute for Human-Centered AI.

I’m co-founder and CEO of Entrepreneur First (EF), the world’s leading talent investor, and Chair of ARIA, the UK’s Advanced Research and Invention Agency. In 2023, I led the preparations and negotiations for the AI Safety Summit at Bletchley Park as the UK Prime Minister’s Representative (on sabbatical from EF). Previously, I led the design work for the UK Frontier AI Taskforce (now the UK AI Safety Institute, where I am Vice Chair of the Advisory Board). I serve on the boards of Code First Girls, which I co-founded (also with Alice), the Kennedy Memorial Trust and Innovate UK. To my great surprise, I was awarded an MBE for services to business in the Queen’s Birthday Honours in 2016.

Rafael A. Calvo, PhD is Professor at the Dyson School of Design Engineering, Imperial College London. He is also co-lead at the Leverhulme Centre for the Future of Intelligence (Imperial spoke). He focuses on the design of systems that support  wellbeing in areas of mental health, medicine and education, and on the  ethical challenges raised by new technologies.

Joanna Bryson is Professor of Ethics and Technology at  the Hertie School. Her research focuses on the impact of technology on  human cooperation, and AI/ICT governance. From 2002-19 she was on the  Computer Science faculty at the University of Bath. She has also been  affiliated with the Department of Psychology at Harvard University, the  Department of Anthropology at the University of Oxford, the School of  Social Sciences at the University of Mannheim and the Princeton Center  for Information Technology Policy. During her PhD she observed the  confusion generated by anthropomorphised AI, leading to her first AI ethics publication “Just Another Artifact” in 1998. In 2010, she  co-authored the first national-level AI ethics policy, the UK's  Principles of Robotics. She holds degrees in psychology and artificial  intelligence from the University of Chicago (BA), the University of  Edinburgh (MSc and MPhil), and Massachusetts Institute of Technology  (PhD). Since July 2020, Prof. Bryson has been one of nine experts  nominated by Germany to the Global Partnership for Artificial  Intelligence.

Prof. Harris is appointed in the Experimental Psychology Department in Psychology and Language Sciences at University College London (UCL), where is the Vice Dean for Global Engagement in the Faculty of Brain Sciences (FBS). He is also a council member at the United Kingdom Research and Innovation’s (UKRI) Economic and Social Research Council (ESRC). Prof. Harris is a social neuroscientist who takes an interdisciplinary approach to understanding human behaviour. His research explores the brain and physiological correlates of person perception, social learning, emotions, social inferences, prejudice, dehumanization, anthropomorphism, punishment, and decision-making. His research addresses questions such as: How do we see people as less than human, and non-human objects as human beings? How do we modulate affective responses to people? How do we make social, legal, ethical, and economic decisions?