Speakers


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Louise Antony

UMass Amherst

Professor Antony's work focuses on how mentality can be realized in a physical world, taking a naturalistic approach to issues in epistemology, the philosophy of mind, and feminist theory. She has argued-somewhat paradoxically-that bias is not inherently bad; it plays a constructive role in human epistemic and emotional life.

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Mahzarin Banaji

Harvard University

Professor Banaji studies thinking and feeling as they unfold in social context, with a focus on mental systems that operate in implicit mode. She studies social attitudes and beliefs in adults and children, especially those that have roots in group membership.


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Michael Brownstein

John Jay College / Graduate Center, CUNY

Professor Brownstein writes about science and ethics, with emphasis on leveraging the insights of the social sciences to create change in societies fractured by intergroup conflict. His current research focuses on the moral and political psychology of climate change.



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Jules Holroyd

 

Jim Chamberlain

 

Ben Jenkins

         

Robin Scaife

University of Sheffield


All authors are based at the University of Sheffield, UK. Dr Jim Chamberlain, teaching associate, has published on metaethics, and moral psychology. Dr Jules Holroyd,senior lecturer, has published on implicit bias and topics in social philosophy. Ben Jenkins, PhD candidate, researches on the heterogeneity of implicit bias. Dr Robin Scaife works in impact evaluation and student support, with a research background in Philosophy and Psychology.

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Eugene Chua

University of California San Diego

Eugene specializes in philosophy of physics, focusing on the foundations of thermodynamics and the problem of time in quantum gravity. He also works on general philosophy of science, especially on idealizations/approximations, modelling, and scientific methodology. He is also interested in the various epistemological and ethical issues surrounding AI/ML.

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Tina Eliassi-Rad

Northeastern University

Professor Eliassi-Rad works at the intersection of AI and Network Science, and cares about the impact of science and technology on disadvantaged members of society. Her algorithms have been incorporated into systems used by governments and industry (e.g., IBM System G Graph Analytics), as well as open-source software (e.g., Stanford Network Analysis Project).


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Lily Hu

Yale University

Professor Hu's work broadly concerns causal theorizing about the social world, with a particular focus on causal inference methodologies in the social sciences, how these various statistical frameworks treat and measure the “causal effect” of social categories such as race.







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Rachel Rudolph

Auburn University

Elay Shech

Auburn University

Mike Tamir

UC Berkeley

Rachel Rudolph is Assistant Professor of Philosophy at Auburn University, specializing in philosophy of language. Elay Shech is Associate Professor of Philosophy at Auburn University, specializing in philosophy of science. Michael Tamir is Chief ML Scientist and Head of Machine Learning and AI for the Susquehanna International Group, and continuing faculty for the UC Berkeley data science program. Together they work on philosophical aspects of AI and machine learning.



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Manon Andre St. Amant

University of Minnesota

Manon Andre de St Amant (they/them) is a graduate student at University of Minnesota, Twin Cities, studying ethics, moral psychology, and feminist philosophy. Their work focuses on the psychological effect of oppression and how that impacts (and ought to impact) resistance efforts.









Commentators


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Erin Beeghly

University of Utah

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Liam Kofi Bright

London School of Economics

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Kathleen Creel

Northeastern University


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Carolina Flores

UC Irvine

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Branden Fitelson

Northeastern University

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Benedek Kurdi

Yale University


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Tom Kelly

Princeton University

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Gary Lupyan

University of Wisconsin-Madison

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Raphaël Millière

Columbia University


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Wayne Wu

Carnegie Mellon University




Organizers


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Gabbrielle Johnson

Claremont McKenna College

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Jessie Munton

University of Cambridge

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Nathaniel Braswell

Claremont McKenna College