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Dr. David Grant

Currently Teaching

  • Philosophy of Artificial Intelligence
  • Graduate Seminar in Ethics, AI, and Data

Office Hours (Spring)

  • Thursdays 2:00 PM - 4:00 PM

Areas of Specialization

  • Ethics of Technology
  • Social and Political Philosophy
  • Philosophy of Science

Curriculum Vitae

 

Contact Information

Email: david.grant
Office: Griffin-Floyd 330

Publications

  • "Equalized Odds is a Requirement of Algorithmic Fairness." Synthese, forthcoming.
  • "Embedded EthiCS: Integrating Ethics Broadly Across Computer Science Education" (with Barbara Grosz et al.), Communications of the Association for Computing Machinery, 2019
  • "Ethics and Artificial Intelligence in Public Health Social Work," in Artificial Intelligence and Social Work, ed. Milind Tambe and Eric Rice (Cambridge University Press), 2018

Presentations

  • "Fairness in Recidivism Prediction," Rocky Mountain Ethics Congress (RoME), August 2021
  • Keynote address on machine learning and social justice for the 18th Biennnial Meeting of the International Society for Justice Research, Lisbon, Portugal, July 2021
  • Panel discussion on algorithmic bias (panelist), Center for Ethics, Economics, and Public Policy at the University of San Diego, April 2021 (postponed due to COVID-19)
  • "What We Owe to Decision Subjects: Beyond Transparency and Accountability in Automated Decision Making" (with Jeff Behrends and John Basl),
    • 13th Annual Rocky Mountain Ethics Congress, University of Colorado Boulder, August 2020
    • Hoffman Center for Business Ethics, Bentley University, April 2021
    • Law and New Technologies Conference, University of Catanzaro, March 2021
    • Ethics and Technology Seminar Series, University of Marcerata and University of Rome, January 2021
  • "Ethics for Artificial Agents," Northeastern University AI and Data Ethics Group, March 2019
  • "Fair Machine Learning and Moral Philosophy," Harvard Center for Research on Computation and Society Lunch Seminar, November 2018
  • "Algorithms in the Criminal Adjudicative Process" (panelist), Boston University Workshop on Algorithms, Ethics, and Accountability, March 2018
  • "Ethical Considerations in the Design of Network-Based Prevention Programs"
    • Jain Family Institute, February 2018
    • University of Southern California Center for Artificial Intelligence in Society, July 2017
  • "Ethics and Artificial Intelligence: An Overview," University of Southern California Center for Artificial Intelligence in Society, June 2017
  • Comments on Yvonne MacPherson and Kathy Pham, "Ethics in Health Data Science," Radcliffe Institute Exploratory Seminar on the Ethics of Technology at Work and in Public Institutions, Harvard University, January 2020
  • Comments on Robert Long, "Fairness in Machine Learning: Against False Positive Rate Equality," Northeastern Information Ethics Roundtable, Northeastern University, April 2019
  • Participant, Harvard Integrating Ethics Across Computer Science Curricula Workshop, October 2018
  • Participant, FAT* Data Science Ethics Education Workshop, February 2018

Grants, Fellowships, and Awards

  • Responsible Computer Science Challenge: Stage 1, Harvard University, 2019-2020
  • Certificate of Distinction in Teaching, Harvard University, Spring 2016
  • Presidential Fellowship, Massachusetts Institute of Technology, 2008-2009
  • Worth Award for Excellence in the Undergraduate Study of Philosophy, UNC Chapel Hill, 2005