Black Bottom Film Fest.: Coded Bias

March 15, 2021
7:00pm Eastern Time
 03/15/2021 07:00:00 pm03/15/2021 08:00:00 pmAmerica/New_YorkBlack Bottom Film Fest.: Coded BiasIn an increasingly data-driven, automated world, the question of how to protect individuals’ civil liberties in the face of artificial intelligence looms larger by the day. Coded Bias follows M.I.T. Media Lab computer scientist Joy Buolamwini, along with data scientists, mathematicians, and watchdog groups from all over the world, as they fight to expose the discrimination within facial recognition algorithms now prevalent across all spheres of daily life. While conducting research on facial recognition technology at the M.I.T. Media Lab, Buolamwini, a "poet of code," made the startling discovery that the algorithm could not detect dark-skinned faces or women with accuracy. This led to the harrowing realization that the very machine-learning algorithms intended to avoid prejudice are only as unbiased as the humans and historical data programming them. Coded Bias documents the dramatic journey that follows, from discovery to exposure to activism, as Buolamwini goes public with her findings and undertakes an effort to create a movement toward accountability and transparency, including testifying before Congress to push for the first-ever legislation governing facial recognition in the United States. The film also includes data journalist Meredith Broussard; Silkie Carlo, director of Big Brother Watch, who is monitoring the trial use of facial recognition technology by U.K. police; Virginia Eubanks, author of Automating Inequality; Ravi Naik, human rights lawyer and media commentator; Dr. Safiya Umoja Noble, author and expert on algorithmic discrimination and technology bias; and Zeynep Tufekci, author of Twitter and Teargas.https://ovee.itvs.org/screenings/sa8c9August Wilson Center Productionsrichardson@aacc-awc.orgfalseMM/DD/YYYY

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Welcome

In an increasingly data-driven, automated world, the question of how to protect individuals’ civil liberties in the face of artificial intelligence looms larger by the day. Coded Bias follows M.I.T. Media Lab computer scientist Joy Buolamwini, along with data scientists, mathematicians, and watchdog groups from all over the world, as they fight to expose the discrimination within facial recognition algorithms now prevalent across all spheres of daily life.

While conducting research on facial recognition technology at the M.I.T. Media Lab, Buolamwini, a "poet of code," made the startling discovery that the algorithm could not detect dark-skinned faces or women with accuracy. This led to the harrowing realization that the very machine-learning algorithms intended to avoid prejudice are only as unbiased as the humans and historical data programming them.

Coded Bias documents the dramatic journey that follows, from discovery to exposure to activism, as Buolamwini goes public with her findings and undertakes an effort to create a movement toward accountability and transparency, including testifying before Congress to push for the first-ever legislation governing facial recognition in the United States. The film also includes data journalist Meredith Broussard; Silkie Carlo, director of Big Brother Watch, who is monitoring the trial use of facial recognition technology by U.K. police; Virginia Eubanks, author of Automating Inequality; Ravi Naik, human rights lawyer and media commentator; Dr. Safiya Umoja Noble, author and expert on algorithmic discrimination and technology bias; and Zeynep Tufekci, author of Twitter and Teargas.

Video Descriptions

CODEDBIAS ILPOPUP Onscreen StartingSoon

Filmmaker Introduction

Filmmaker Shalini Kantanna introduces Coded Bias

Coded Bias - Indie Lens Pop-Up

Racial bias in facial recognition algorithms — MIT Media Lab researcher Joy Buolamwini makes a startling discovery, and fallout ensues.

CODEDBIAS ILPOPUP Onscreen EndCard

67min 19sec

Moderator

Panelists

  • Joe Lewis

    Curator, BBFF

  • Cydney Nunn

    Senior Marketing Manager, AWAACC

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The views and opinions expressed in this online screening are those of the presenters and participants, and do not necessarily reflect the views or policies of ITVS, public broadcasting, or any entities hosting the screening.