DH11: AI and Human Values
About
A long-term interdisciplinary research collaboration to examine the philosophical, social, and normative aspects of artificial intelligence (AI). Topics include fairness in AI decision-making and normative foundations of data science research.
Open to New People
Active since: 2019
- Syracuse University
- University of Rochester
Collaborative Goals
This Working Group aims to foster long-term interdisciplinary research collaboration on the philosophical, social, and normative aspects of artificial intelligence (AI). Topics include fairness in AI decision-making, language models, and normative foundations of data science research. In Fall 2023 and Spring 2024 we will organize two public lectures. In Spring 2024, we will organize one manuscript workshop.
Group Organizers
Johannes Himmelreich
Assistant Professor of Public Administration and International Affairs, Syracuse University
Group Members
- Mujdat Cetin, Professor of Electrical and Computer Engineering; Professor of Computer Science; Robin and Tim Wentworth Director, Goergen Institute for Data Science; and Director, New York State Center of Excellence in Data Science, University of Rochester
- Adam Dees, Graduate Student, University of Rochester
- William Gantt, Graduate Student, University of Rochester
- Kevin Gausselin, Graduate Student, University of Rochester
- Lisa Jin, Graduate Student, University of Rochester
- Ben Lennertz, Assistant Professor of Philosophy, Colgate University
- Xinlu Li, Graduate Student, University of Rochester
- Kenzie Potter, Graduate Student, University of Rochester
- Becca Sanaeikia, Graduate Student, University of Rochester
- Joseph Spino, McNeil Assistant Professor of Applied Ethics, Le Moyne College
- Adam Wolf, Philosophy, Colgate University
Activities
AI and Human Values: A Lecture on Fairness in Algorithmic Services
Dec. 1, 2023, noon
Manuscript Workshop on Ethical Foundations of Data Science
April 28, 2023, 10:30 a.m.
Explainable AI, Disagreement, and Idealization
April 21, 2023, 2 p.m.
Group Outcomes
Public Lecture on AI and Human Values Attendance ~25 participants. Impact: (i) improved connections between computer science and philosophy faculty and grads at the University of Rochester. (ii) deepened knowledge of AI ethics amongst PhD students in philosophy, a key area of research activity and faculty employment in philosophy. Manuscript Workshop on Ethical Foundations of Data Science Attendance ~14 participants. Impact: (i) improved connections between Corridor institutions (esp. with attendance by Cornell faculty) (ii) initiated connection and research signal with PhD students in philosophy, highlighting emerging research topics in philosophy (iii) provided researchers at Corridor institutions investigating topics of AI and Human Values an opportunity to get feedback on their work (2 of the 4 presenters were from Corridor institutions and included graduate students).
Explainable AI, Disagreement, and Idealization
Public Lecture on AI and Human Values by Will Fleischer. Title: Explainable AI, Disagreement, and Idealization
Manuscript Workshop on Ethical Foundations of Data Science
This manuscript workshop brought together researchers from philosophy and Computer Science to discuss the roles, values, and philosophy of science play in AI. Speakers included Rebecca Sanaeikia of the University of Rochester, Johannes Himmelreich of Syracuse University, Karina Vold of the University of Toronto, and Katie Creel of Northeastern University.