Puzzle-solving in AI Ethics: Putting Ethics into Practice in Innovation

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Worldwide Week at Harvard 2023 Event

While Artificial Inteligence (AI) ethics and responsible AI increasingly receive more attention, there remains a confusion about their scope and how to execute them. Multiple disciplines work on ethical questions related to AI but the disconnect between them impair the efficiency and robustness of the practice. Every organization comes up with a set of AI ethics principles but often they fail to operationalize them because of conceptual errors and vagueness, and a lack of understanding of their function. In this talk, an AI ethics practice model developed and employed at AI Ethics Lab: The Puzzle-solving in Ethics (PiE) Model is presented. The PiE Model is a comprehensive and structured practice framework for organizations to integrate ethics into their operations as they develop and deploy AI systems. The PiE Model aims to make ethics a robust and integral part of innovation and enhance innovation through ethical puzzle-solving.

After the workshop and discussion, we will offer an informal reception with beverages and light food in our garden terrace.

Presenters: Daniel Sanchez Mata, Director, Real Colegio Complutense at Harvard University (RCCHU), and Luis Salgado, Delegate of Technical University of Madrid (UPM) at RCCHU and for North America

Main speaker: Cansu Canca, Northeastern University, AI Ethics Lab, United Nations Expert Consultant

Cansu Canca is a philosopher and the Founder+Director of 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 is also Research Associate Professor in Philosophy and the Director of Responsible AI Practice at the Institute for Experiential AI at Northeastern University. Cansu serves as an AI Ethics and Governance Expert consultant to the United Nations, working with UNICRI Centre for AI & Robotics and the INTERPOL in building a “Toolkit for Responsible AI Innovation in Law Enforcement”. 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.