Ideas worth spreading

Эра слепой веры в «большие данные» должна закончиться

1,618,810 views | Кэти О'Нил • TED2017

Алгоритмы решают, кто получает кредит, кто идёт на собеседование, кто получает страховку и многое другое, но они не делают ситуацию автоматически справедливой. Математик и специалист по обработке данных Кэти О'Нил придумала термин для секретных, важных и пагубных алгоритмов: «оружие математического уничтожения». Узнайте больше о мотивах, которые скрыты за формулами.

Алгоритмы решают, кто получает кредит, кто идёт на собеседование, кто получает страховку и многое другое, но они не делают ситуацию автоматически справедливой. Математик и специалист по обработке данных Кэти О'Нил придумала термин для секретных, важных и пагубных алгоритмов: «оружие математического уничтожения». Узнайте больше о мотивах, которые скрыты за формулами.

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Learn more about Data & Society, a research institute that covers a wide range of topics related to social issues posed by big data.

Attend Fairness, Accountability, and Transparency in Machine Learning, an annual event that brings together researchers and practitioners dedicated to ensuring “non-discrimination, due process, and understandability in decision-making” in machine learning.

Learn more about AI Now, a multi-disciplinary NYC-based initiative working to understand the social impacts of artificial intelligence.

About the speaker

Cathy O'Neil

Mathematician, data scientist

See speaker profile

Data skeptic Cathy O’Neil uncovers the dark secrets of big data, showing how our "objective" algorithms could in fact reinforce human bias.

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This talk was presented at an official TED conference. TED's editors chose to feature it for you.

Learn more about Data & Society, a research institute that covers a wide range of topics related to social issues posed by big data.

Attend Fairness, Accountability, and Transparency in Machine Learning, an annual event that brings together researchers and practitioners dedicated to ensuring “non-discrimination, due process, and understandability in decision-making” in machine learning.

Learn more about AI Now, a multi-disciplinary NYC-based initiative working to understand the social impacts of artificial intelligence.