If you're human, you're biased. Now what?
bias challenges us to confront our hidden biases and understand what we risk when we follow our gut. Through exposing her own biases, award-winning documentary filmmaker Robin Hauser (CODE: Debugging the Gender Gap, Running for Jim) highlights the nature of implicit bias, the grip it holds on our social and professional lives, and what it will take to induce change.
The toxic effects of bias make headlines every day: sexual harassment, racial profiling, the pay gap. As humans, we are biased. Yet few of us are willing to admit it. We confidently make snap judgments, but we are shockingly unaware of the impact our assumptions have on those around us. The documentary feature bias follows filmmaker Robin Hauser on a journey to uncover her hidden biases and explore how unconscious bias defines relationships, workplaces, our justice system, and technology. bias contemplates the most pressing question: can we de-bias our brains?
There is a test that measures unconscious biases: the Harvard-based Implicit Association Test, or IAT. In bias, Robin takes the IAT and is shocked by her results. She embarks on an investigation into the nature of human bias, tracking down the test’s co- creators, Mahzarin Banaji and Anthony Greenwald, to dig into the science behind bias before traveling across the country and around the world to explore cutting-edge research into bias and its effects on our social and professional lives.
Throughout, bias gives voice to neighbors concerned about profiling in their communities, CEOs battling bias in their businesses, and those of us hesitant to admit our own biases. After confronting her unconscious bias, Robin turns to action by engaging with innovative experiments – from corporate strategies to tech interventions and virtual reality – that are reshaping our understanding of implicit bias and attempting to mitigate it. In settings such as a police deadly force decision simulator and a virtual reality lab designed to reduce racial bias, the film considers the possibilities presented by new technology. At the same time, it exposes the risks we take by using algorithms to solve for human bias.
Humorous anecdotes, alarming exposés, and Robin’s acute vulnerability prompt viewers to reflect on their own “gut feelings.” When should we trust them and when should we let them go?
We are proud to feature a wide range of interviews:
Mahzarin Banaji, Implicit Association Test
Anthony Greenwald, Implicit Association Test
Iris Bohnet, Harvard Kennedy School
Abby Wambach, U.S. Soccer
Libby Schaaf, Mayor of Oakland, CA
Nirav Tolia, Nextdoor.com
Shikira Porter, Neighbors for Racial Justice
Jerry Kang, UCLA
Ron Tyler, Stanford University
Krista Morgan, P2BInvestor
Blake Irving, GoDaddy
Joanna Bryson, University of Bath
Angele Christin, Stanford University
Francesca Rossi, IBM
Mel Slater, University of Barcelona
Lois James, Counter Bias Training Simulator (CBTSim)
Steve James, Counter Bias Training Simulator (CBTSim)
Shruti Gandhi, Array Ventures
Mellody Hobson, Ariel Investments
Aileen Lee, Cowboy Ventures
Lori Nishiura Mackenzie, Clayman Institute for Gender Research at Stanford University
Promise Phelon, TapInfluence
Allyson Robinson, Cook-Ross, Inc.
David Rock, Neuroleadership Institute
Howard Ross, Cook-Ross, Inc
Judith Michelle Williams, Dropbox
Monica Bailey, Godaddy
Domna Banakou, University of Barcelona
Stacy Brown-Philpot, TaskRabbit
Heidi Roizen, Draper Fisher Jurvetson