Social Biases in Machine Learning and in Human Nature: What Social Scientists and Computer Scientists Can Learn From Each Other

April 9-10, 2021

Organizers | Susan T. Fiske & Xuechunzi Bai, Princeton University, Psychology
Sponsors | DataX at Princeton, Department of Psychology, Center for Statistics and Machine Learning

Virtual workshop highlighted cutting-edge, innovative sociology, social psychology, cognitive science, and computer science perspectives on the interplay between stereotyping and human and artificial intelligence.

	Introduction \| Social Biases in Machine Learning and in Human Nature: What Social Scientists and Computer Scientists can Learn from Each Other \| Susan J. Fiske, Professor of Psychology and Xuechunzi Bai, Graduate Student in Psycology, Princeton University
	Fairness in Visual Recognition \|Olga Russakovsky, Department of Computer Science, Princeton University
	Bias and Norms \| Thomas Kelly, Department of Philosophy, Princeton University
	Racial Discrimination in Hiring through the Lens of Field Experiments \| Lincoln Quillian, Department of Sociology, Northwestern University
	Human Decisions in Social Environments \| Elizabeth Bruch, Department of Sociology, University of Michigan
	Lessons for Artificial Intelligence from the Study of Natural Stupidity \| Todd Gureckis, Department of Psychology, New York University
	Computational Justice: Simulating Structural Bias and Interventions \| Ida Momennejad, Microsoft Research
	Is There a Filter Bubble on Social Media? A Call for Epistemic Humility \| Arvind Narayanan, Department of Computer Science, Princeton University

	Introduction \| Social Biases in Machine Learning and in Human Nature: What Social Scientists and Computer Scientists can Learn from Each Other \| Susan J. Fiske, Professor of Psychology and Xuechunzi Bai, Graduate Student in Psycology, Princeton University
	Fairness in Visual Recognition \|Olga Russakovsky, Department of Computer Science, Princeton University
	Bias and Norms \| Thomas Kelly, Department of Philosophy, Princeton University
	Racial Discrimination in Hiring through the Lens of Field Experiments \| Lincoln Quillian, Department of Sociology, Northwestern University
	Human Decisions in Social Environments \| Elizabeth Bruch, Department of Sociology, University of Michigan
	Lessons for Artificial Intelligence from the Study of Natural Stupidity \| Todd Gureckis, Department of Psychology, New York University
	Computational Justice: Simulating Structural Bias and Interventions \| Ida Momennejad, Microsoft Research
	Is There a Filter Bubble on Social Media? A Call for Epistemic Humility \| Arvind Narayanan, Department of Computer Science, Princeton University