John Basl - Institute for Experiential AI
As a member of the IEAI, I'm excited to integrate the tools of ethics into applications and research in ways that help realize the promise of AI while avoiding its ethical pitfalls.

– John Basl, Core Member, EAI

John is an associate professor of philosophy whose work is primarily in applied or practical ethics, including the ethics of AI and emerging technologies. Much of John’s work focuses on building effective ethics oversight and integrating theoretical resources from philosophical ethics into the design and development of Machine Learning applications. He teaches courses in moral philosophy, ethics of technology, and ethics in scientific research.

John is the co-author of Building Data and AI Ethics Committees published with Accenture and Getting from Commitment to Content in AI and Data Ethics: Justice and Explainability published with the Atlantic Council. Other recent work includes contributions to the Oxford Handbook of AI Ethics on AI as a moral rights-holder and the forthcoming volume Autonomous Vehicle Ethics: Beyond the Trolley Problem.

John’s work with a collaborative team building an engineering ethics curriculum has been recognized as an Exemplary Engineering Ethics Program by the National Academy of Engineering Center for Engineering Ethics and Society. He is currently a co-PI on a National Science Foundation grant integrating ethics into the development of co-working autonomous robots in seafood processing.