PATH-AI - Key Persons


Anne Allison

Job Titles:
  • Professor of Cultural Anthropology at Duke University
Anne Allison is Professor of Cultural Anthropology at Duke University. Her research focuses on the intersection between political economy, everyday life, and the imagination in the context of late capitalist, post-industrial Japan. Her books include Nightwork: Sexuality, Pleasure, and Corporate Masculinity in a Tokyo Hostess Club (University of Chicago Press, 1994), Millennial Monsters: Japanese Toys and the Global Imagination (University of California Press, 2006), and Precarious Japan (Duke University Press, 2013). She is currently finishing a book on new death practices in Japan where, in the wake of downsizing sociality and a trend towards living and dying alone, redesigning endingness and disposition techniques includes robot-priests, automated columbaria, and "grave-friends."

Dr Andrew Adams

Job Titles:
  • Deputy Director of the Centre for Business Information Ethics ( CBIE ) at Meiji University in Tokyo
Dr Andrew Adams is the Deputy Director of the Centre for Business Information Ethics (CBIE) at Meiji University in Tokyo, and is also a part-time research fellow on the EU Horizon 2020 RRING project. He has authored many papers including "The effects of nudging a privacy setting suggestion algorithm's outputs on user acceptability" (2019) and "Superheroes on screen: real life lessons for security debates" (2019). His research interests focus on the social, legal, and ethical aspects of computer and communication technologies and privacy and related questions of security and surveillance. Dr Adams served as the Principal Investigator of the JSPS-funded project Easy Security and Privacy (2015-2018) and co-Investigator on the MEXT Programme for Strategic Bases at Private Universities project "Organisational Information Ethics" (2012-2016).

Dr David Leslie

Job Titles:
  • Director of Ethics
  • Director of Ethics and Responsible Innovation Research, Public Policy Programme, the Alan Turing Institute and Professor of Ethics, Technology and Society, Queen Mary University of London
  • Member of the 9 - Person Bureau of the Council of Europe 's Ad Hoc Committee
  • Principal Investigator )
David Leslie is the Director of Ethics and Responsible Innovation Research at The Alan Turing Institute and Professor of Ethics, Technology and Society at Queen Mary University of London. He was a 2017-2018 Mellon-Sawyer Fellow in Technology and the Humanities at Boston University and has previously taught at Princeton's University Center for Human Values (UCHV), where he also participated in the UCHV's 2017-2018 research collaboration with Princeton's Center for Information Technology Policy on "Technology Ethics, Political Philosophy and Human Values: Ethical Dilemmas in AI Governance." Prior to teaching at Princeton, David held academic appointments at Yale's programme in Ethics, Politics and Economics and at Harvard's Committee on Degrees in Social Studies, where he received over a dozen teaching awards including the 2014 Stanley Hoffman Prize for Teaching Excellence. David now serves as an elected member of the 9-person Bureau of the Council of Europe's Ad Hoc Committee on Artificial Intelligence (CAHAI). He is on the editorial board of the Harvard Data Science Review (HDSR) and is a founding editor of the Springer journal, AI and Ethics. He is the author of the UK Government's official guidance on the responsible design and implementation of AI systems in the public sector, Understanding artificial intelligence ethics and safety (2019) and a principal co-author of Explaining decisions made with AI (2020), a co-badged guidance on AI explainability published by the Information Commissioner's Office and the Alan Turing Institute. He was a Principal Investigator and co-author of the NESTA-funded Ethics review of machine learning in children's social care (2020). David is also a co-author of Mind the gap: how to fill the equality and AI accountability gap in an automated world (2020), the Final Report of the Institute for the Future of Work's Equality Task Force. His other recent publications include the HDSR article, "Tackling COVID-19 through responsible AI innovation: Five steps in the right direction," (2020) and Understanding bias in facial recognition technologies: An explainer (2020). In his shorter writings, David has explored subjects such as the life and work of Alan Turing, the Ofqual fiasco, the history of facial recognition systems and the conceptual foundations of AI for popular outlets from the BBC and the Turing Blog to Nature.

Dr Florian Ostmann

Job Titles:
  • Member of the Law Committee for the IEEE Global Initiative
  • Policy Theme Lead, Public Policy Programme, the Alan Turing Institute
Florian Ostmann is the Policy Theme Lead within the public policy programme. His research interests are centred around applications of data science and AI in the public sector, ethical and regulatory questions in relation to emerging technologies across all sectors of the economy, and the future of work and social welfare systems. Prior to joining the Turing, Florian was a Research Associate at Harvard Kennedy School's Shorenstein Center on Media, Politics and Public Policy where he conducted research on questions of fairness and transparency in the context of algorithmic decision-making. In relation to these topics, his work has been focused on translating between conceptual frameworks from statistics, computer science, philosophy, and the law, and on thinking about the demands of transparency from an application-specific perspective. Florian is a member of the Law Committee for the IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems. His previous experience includes working for the Pan America Health Organization and working as a consultant on responsible investing (with a focus on modern slavery risks), autonomous vehicle policy, and social impact measurement. Florian holds a Master in Public Policy from the Harvard Kennedy School and a PhD in Political Philosophy and MA in Legal and Political Theory from University College London. Going back to earlier roles and academic work, he maintains active interests in corporate responsibility and business ethics (with a focus on business & human rights and the ethics of market transactions), bioethics (with a focus on priority-setting and research ethics), and health policy.

Dr Fumi Kitagawa

Job Titles:
  • Senior Lecturer in Entrepreneurship & Innovation, University of Edinburgh Business School
Dr Fumi Kitagawa has a PhD in Urban and Regional Studies. Her research has centred on how public science generates impact on economy and society; in particular, the role of higher education institutions in the regional development and innovation processes. Fumi has published extensively on S&T and Innovation policy, governance of regional and local economic development, scientific entrepreneurship, and university-industry relationships, covering the UK, Sweden, and East Asia. Most recently, she has completed a study on the impact of industry-based doctoral training in the UK, building research on innovation, skills and competences across organisational boundaries. Prior to joining University of Edinburgh Business School, Fumi worked as Lecturer in Enterprise studies at Manchester Business School, the University of Manchester. She held a post-doctoral position at European University Institute in Italy; Assistant professor at CIRCLE (Centre for Innovation, Research and Competence in the Learning Economy) at Lund University in Sweden. Fumi has had international policy relevant experiences including the OECD project studying regional contribution of higher education in South Korea and Canada; and a policy research officer job working at a Japanese government research institute.

Dr Hiroshi Nakagawa

Job Titles:
  • Team Leader, Centre for Advanced Intelligence Project ( AIP ), RIKEN

Dr James Wright

Job Titles:
  • Research Associate, the Alan Turing Institute
Dr James Wright has a PhD in Science and Technology Studies / Cultural Anthropology from the University of Hong Kong, where his work focused on the development and use of robots for the care of older adults in Japan. After a postdoctoral fellowship at the France-Japan Foundation at EHESS focused on a comparison between Japanese and EU care robot development projects, he worked as a research associate at the University of Sheffield's CIRCLE research institute, looking at the care technology landscape in the UK. His research focuses on care robots in Japan, the UK, and Europe, as well as digital welfare technologies, emotion recognition systems, and public innovation policy and practice.

George Crooks

Job Titles:
  • Chief Executive of the Digital Health & Care Innovation Centre
Professor George Crooks is the Chief Executive of the Digital Health & Care Innovation Centre, Scotland's national innovation centre for digital health and care. Prior to this, he served as the Medical Director of NHS 24 and Director of the Scottish Centre for Telehealth and Telecare. Professor Crooks was a General Medical Practitioner in Aberdeen for 23 years and the Director of Primary Care for Grampian. He is Medical Director of the European Connected Health Alliance, and board member and past President of the European Health Telematics Association. He is an adjunct Professor of Telehealth at the University of Southern Denmark, and was awarded an OBE in 2011 for services to healthcare.

Kenji Shibuya

Job Titles:
  • Director
  • Professor and Director, University Institute for Population Health / King 's College London
Professor Kenji Shibuya is currently Director, University Institute for Population Health at King's College London. His expertise ranges across important topics in global and population health including health metrics and evaluation; global burden of disease; health system performance; product and system innovations; public-private partnerships; and R&D strategies. Dr. Shibuya has been an advisor to both central and local governments, and most recently he was appointed as Special Advisor to the Director-General of the World Health Organization (WHO) and a member of the Scientific Advisory Committee of Coalition for Epidemic Preparedness Innovations (CEPI), a new pandemic vaccine fund, investing in COVID-19 vaccines . He spearheaded the future strategic directions of the Japanese global health policy agenda at the Hokkaido Toyako G8 Summit in 2008 on health system strengthening and Ise-Shima G7 Summit in 2016 on global health security. He obtained his MD at the University of Tokyo and earned a doctorate of public health in international health economics at Harvard University.

Mireille Hildebrandt

Job Titles:
  • Research Professor
Research Professor at Vrije Universiteit Brussels (VUB) and Co-Director of the Law, Science, Technology & Society studies Research Group at the Faculty of Law and Criminology Professor Mireille Hildebrandt is Research Professor on ‘Interfacing Law and Technology' at Vrije Universiteit Brussels (VUB). She is the Co-Director of the Law, Science, Technology & Society studies Research Group at the Faculty of Law and Criminology. She also holds the part-time Chair of ‘Smart Environments, Data Protection and the Rule of Law' at the Institute for Computing and Information Sciences (iCIS) of the Science Faculty of Radboud University Nijmegen since 2011. Working on the cusp of law and computer science is core to her research, which is focused on the implications of automated decisions, machine learning and mindless artificial agency, notably concerning the implications for law and the rule of law in constitutional democracies. She has published 5 scientific monographs, 23 edited volumes or special issues, and over 100 chapters and articles in scientific journals and volumes. In 2018, Professor Hildebrandt was awarded an ERC Advanced Grant for research on ‘Counting as a Human Being in Computational Law' (COHUBICOL; www.cohubicol.com). The project runs from 2019-2024 at Vrije Universiteit Brussels (law), partnered with Radboud University (computer science) and is focused on the use of machine learning for argumentation mining and quantified legal prediction, and the use of blockchain to develop self-executing code for regulation and contracts (‘smart regulation', ‘smart contracts').

Morgan Briggs

Job Titles:
  • Research Associate for Data Science and Ethics, Public Policy Programme, the Alan Turing Institute

Susanne Brucksch

Job Titles:
  • Associate Professor at Teikyo University, Tokyo
  • Professor

Takehiro Ohya

Job Titles:
  • Professor of Jurisprudence at Keio University Faculty of Law