Cansu is a philosopher and the founder+director of the AI Ethics Lab, where she leads teams of computer scientists, philosophers, and legal scholars to provide ethics analysis and guidance to researchers and practitioners. She also serves as an ethics expert in various ethics, advisory, and editorial boards. She has a Ph.D. in philosophy specializing in applied ethics. She primarily works on ethics of technology, having previously worked on ethics and health. Prior to the AI Ethics Lab, she was a lecturer at the University of Hong Kong, and a researcher at the Harvard Law School, Harvard School of Public Health, Harvard Medical School, National University of Singapore, Osaka University, and the World Health Organization. She was listed among the “30 Influential Women Advancing AI in Boston” and the “100 Brilliant Women in AI Ethics”. She tweets @ccansu.
For more detailed information, you can download her CV or contact her at firstname.lastname@example.org.
Applying Ethics to AI Technologies | MIT Sloan Business School | Online, January 2021
Creating Ethical Online Content | Nanyang Technical University (Singapore) | Online, November 2020
The Role of AI in Post-Pandemic Era | Harvard Global Health Institute + MIT Critical Data + Novartis Foundation | Online, July 2020
Artificial Intelligence & Human Subject Protection | CITI Program | Online, May 2020
How to Solve AI’s Ethical Puzzles | TEDxCambridge | Boston, November 2019
A Practical Guide to Integrating AI Ethics | MIT Technology Review | Singapore, November 2019
IRBs for AI: An Unintelligent Choice | University of Oxford, Future of Humanity Institute | Oxford, November 2019
AI, Ethics, and Public Safety | U.S. Department of Justice | Memphis, September 2019
Law, Ethics, and AI | Harvard Law School | Cambridge, April 2019
Integrating Ethics into AI Research & Development | Harvard Business School | Boston, February 2019
For the full list, see the CV.
For further information and booking, please see Cansu’s WSB page.
Operationalizing AI Ethics Principles | Communications of the ACM, 2020
AI and Ethics in Human Subject Research | CITI Program, 2020
Human Rights & 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 | Harvard University Berkman Klein Center for Internet & Society, 2019
Machine Learning as the Enemy of Science? Not Really. | Harvard Law School, Bill of Health, 2018
Voice Assistants, Health, and Ethical Design | Harvard Law School, Bill of Health, 2017