Abstract
Emerging technologies, particularly AI and robotics, are impacting us in socially, morally, and politically significant ways. With this growing recognition in academic and public arenas, we see the increasing need to develop novel modes of regulation. Accordingly, “embedded ethics” has become a trending framework for research and practical interdisciplinary collaboration. Embedded ethics is a process of merging ethics and social sciences into technology development teams, whether in educational or industry settings, in an effort to identify and address ethical features of emerging technologies throughout their development. In this talk, I explain some of the theoretical and practical underpinnings of embedded ethics. I suggest that embedded ethics can be seen as a preparatory mode of regulation and offer some recommendations for how the framework can be deployed.
Bio
Daniel Tigard is a research scientist and AI ethicist at the Institute for Experiential AI. He earned his bachelor’s degree in philosophy at the University of Washington, a master’s degree from Brandeis University, and a doctorate from Tulane University. His scholarship addresses ethical questions surrounding emerging technologies, such as robotics and artificial intelligence. Along with his role at the institute, Daniel serves as an assistant professor of philosophy at the University of San Diego, where he teaches engineering ethics and ethics of AI and robotics, and he previously held a position as senior research associate at the Technical University of Munich.