During the Facebook hearings in Congress, when asked how to solve the hate speech problem, CEO Mark Zuckerberg replied "artificial intelligence (AI)." But before we allow AI to solve our problems, we need to solve its' biggest problem first: bias. As AI continues to spread, countless examples of bias have risen: from racist facial recognition to the proliferation of sexist language, AI is far from perfect. Before we let the cold, mathematical calculations of AI tackle our difficult questions, we need to rethink its algorithms, how they are written, and even who writes them. Our expert panel from across the nonprofit, industry, and education sectors will discuss ways we can tackle algorithmic bias.



Programming descriptions are generated by participants and do not necessarily reflect the opinions of SXSW.

Programming descriptions are generated by participants and do not necessarily reflect the opinions of SXSW.

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Tiffany Li

Yale Law School’s Information Society Project

photo of Sasha Moss

Sasha Moss

R Street Institute

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