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Cansu Canca (pronunciation: [dʒanˈsu dʒanˈdʒa]) is a moral and political philosopher, with a Ph.D. specializing in applied ethics, and founder and director of AI Ethics Lab.^[1][2][3][4] Formerly, she was a bioethicist at the University of Hong Kong,^[5] and an ethics researcher at Harvard Law School,^[6] Harvard School of Public Health, Harvard Medical School, National University of Singapore,^[7] Osaka University, and the World Health Organization.^[8]

Canca started AI Ethics Lab in late 2016 (based in Cambridge, MA) focusing on integrating ethics into the innovation process.^[9] Developing and implementing the Puzzle-solving in Ethics Model (PiE Model),^[10][11] AI Ethics Lab became a pioneer in the field for its novel approach to ethics practice.^[12] In 2018, Canca was listed among the “30 Influential Women Advancing AI in Boston”^[13] and in 2019, among the “100 Brilliant Women in AI Ethics”.^[14] She is also the first technology and AI ethicist in Turkey.^[1]

Canca serves as an ethics expert in various ethics, advisory, and editorial boards.^[1][15] She is a founding editor for AI & Ethics Journal.^[16] She has given over 100 keynotes, seminars, talks, and interviews^[17][18][19] on AI ethics including TEDxCambridge,^[20] Harvard Business School,^[21] U.S. Department of Justice,^[22] Institute of Physics,^[23] and MIT Technology Review.^[24]

• “Operationalizing AI Ethics Principles,” Communications of the ACM, 63 (12): 18–21, 2020, doi:10.1145/3430368
• Toolbox: Dynamics of AI Principles, with K.Y. Usta, O. Kartoz, D. Al-Qutub, AI Ethics Lab, 2020
• “Why ‘Mandatory Privacy-Preserving Digital Contact Tracing’ is the Ethical Measure against COVID-19,” Medium, 2020
• “Artificial Intelligence (AI) and Ethics in Human Subjects Research,” co-authored with T. Eto & B. Leong, CITI Program, 2020
• “AI & Global Governance: Human Rights and AI Ethics – Why Ethics Cannot be Replaced by the UDHR,” United Nations University – Centre for Policy Research, 2019
• “A New Model for AI Ethics in R&D,” Forbes AI, 2019
• “A User-Focused Transdisciplinary Research Agenda for AI-Enabled Health Tech Governance,” co-authored with D. Arney, M. Senges, S. Gerke, L. H. Ihle, N. Kaiser, S. Kakarmath, A. Kupke, A. Gajeele, S. Lynch, L. Melendez, Harvard University Berkman Klein Center for Internet & Society, 2019, doi:10.2139/ssrn.3385398
• “White Christmas and Technological Restraining Orders: Are Digital Blocks Ethical?” co-authored with L. H. Ihle, Black Mirror and Philosophy, ed. W. Irwin & D. K. Johnson, Wiley-Blackwell, 2019.
• “Machine Learning as the Enemy of Science? Not Really.” Bill of Health – Harvard Law School, 2018
• “Voice Assistants, Health, and Ethical Design,” Bill of Health – Harvard Law School, 2017
• “On Coercive Offers: In Support of a Market in Kidneys,” International Journal of Applied Philosophy, 31 (2): 149–162, 2017, doi: 10.5840/ijap201822791

• Homepage – AI ETHICS LAB
• TEDxCambridge – "How to Solve AI's Ethical Puzzles"