
An Introduction to Implicit Bias
Description
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Reviews / Votes
"The science of implicit bias is rather complex--much more complex than suggested by the dominant polarized views in the public discourse. The current volume is unique for embracing this complexity in answering broad philosophical questions about implicit bias. A highly accessible must-read for everyone interested in a nuanced view on the science of implicit bias and its significance for society." ?- Bertram Gawronski, Professor of Psychology, University of Texas at Austin, USA"This is an absolutely fantastic, much-needed book. People seeking a textbook will find wonderfully accessible writing on an important issue that is bound to really draw students in. But this isn't just a textbook: the essays are written by top scholars, absolutely current with the latest scholarship in this fast-moving field. Even those who are themselves experts in the area will gain much from reading this volume which tackle some of the most difficult issues in the area in a careful, fair-minded manner."
- Jennifer Saul, University of Waterloo, Canada
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Persons
Alex Madva is Assistant Professor of Philosophy and Director of the California Center for Ethics and Policy at California State Polytechnic University, Pomona. He has run numerous workshops and training sessions on implicit bias, stereotype threat, and impostor syndrome for schools, courts, and wider audiences.
Content
Erin Beeghly and Alex Madva
1. The Psychology of Bias: From Data to Theory
Gabbrielle Johnson
2. The Embodied Biased Mind
Celine Leboeuf
3. Skepticism About Bias
Michael Brownstein
4. Bias and Knowledge: Two Metaphors
Erin Beeghly
5. Bias and Perception
Susanna Siegel
6. Epistemic Injustice and Implicit Bias
Katherine Puddifoot and Jules Holroyd
7. Stereotype Threat, Identity, and the Disruption of Habit
Nathifa Greene
8. Moral Responsibility for Implicit Biases: Examining Our Options
Noel Dominguez
9. Epistemic Responsibility and Implicit Bias
Nancy Arden McHugh and Lacey J. Davidson
10. The Specter of Normative Conflict: Does Fairness Require Inaccuracy?
Rima Basu
11. Explaining Injustice: Structural Analysis, Bias, and Individuals
Saray Ayala-Lopez and Erin Beeghly
12. Individual and Structural Interventions
Alex Madva
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