Philosophy of Data Science
Join University of Rochester and Syracuse University for "Philosophy of Data Science," an interdisciplinary, virtual symposium on the intersection of data science, AI, and ethics. The symposium is open to scholars and practitioners in philosophy, law, computer science, and allied fields.
- Lily Hu (Harvard, Philosophy and Applied Mathematics) - "Predictive Algorithms and Illusory Ideologies"
- Kathleen Creel (Stanford, McCoy Family Centre for Ethics and Society) - "The Machine Molyneaux Problem"
- Joshua Kroll (Naval Postgraduate School, Computer Science) - "Beyond Opening the Black Box: Operationalizing Audits and Assessments for Consequential AI"
- Atoosa Kasirzadeh (Australian National University & Edinburgh University, Philosophy) - "Values, Explanations, and the Machine Standpoint"
Any questions should be directed to Johannes Himmelreich (email@example.com) and Jon Herington (Jonathan.Herington@rochester.edu).
Sponsored by the Central New York Humanities Corridor with an award from the Andrew W. Mellon Foundation.
Please RSVP using the following link: https://forms.gle/Fa8K2CiJ7X56hicB6
Friday, May 7 at 1:30pm