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Can algorithms alone reduce online biases?
On November 12, the Center for Technology Innovation at Brookings hosted a panel of experts in a conversation that unpacks how biases within machine learning algorithms play out differently for online users and what policies are currently being introduced to address these concerns.
Subscribe to Brookings Events on iTunes, send feedback email to [email protected], and follow us and tweet us at @policypodcasts on Twitter. To learn more about upcoming events, visit our website. Brookings Events is part of the Brookings Podcast Network.
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By The Brookings InstitutionOn November 12, the Center for Technology Innovation at Brookings hosted a panel of experts in a conversation that unpacks how biases within machine learning algorithms play out differently for online users and what policies are currently being introduced to address these concerns.
Subscribe to Brookings Events on iTunes, send feedback email to [email protected], and follow us and tweet us at @policypodcasts on Twitter. To learn more about upcoming events, visit our website. Brookings Events is part of the Brookings Podcast Network.