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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.

Speakers include:

  • 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 ( and Jon Herington (

Sponsored by the Central New York Humanities Corridor with an award from the Andrew W. Mellon Foundation.

Dial-In Information

Please RSVP using the following link:

Friday, May 7 at 1:30pm to 7:30pm

Virtual Event
Event Type

Lectures and Talks, Conferences and Symposia


General Public, Faculty, Students, Alumni, Graduate Students/Postdocs


Philosophy, data science, research



Goergen Institute for Data Science
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