Ideas worth spreading

De tijd voor blind vertrouwen in Big Data is voorbij

1,640,465 views |

Cathy O'Neil |

TED2017

• April 2017

Algoritmes bepalen wie een lening krijgt, wie uitgenodigd wordt voor een sollicitatiegesprek en nog veel meer -- maar dat gaat er niet vanzelfsprekend eerlijk aan toe. Wiskundige en datawetenschapper Cathy O'Neil bedacht een term voor geheime, bepalende en schadelijke algoritmes: 'weapons of math destruction'. Leer meer over de verborgen agenda's achter de formules.

Algoritmes bepalen wie een lening krijgt, wie uitgenodigd wordt voor een sollicitatiegesprek en nog veel meer -- maar dat gaat er niet vanzelfsprekend eerlijk aan toe. Wiskundige en datawetenschapper Cathy O'Neil bedacht een term voor geheime, bepalende en schadelijke algoritmes: 'weapons of math destruction'. Leer meer over de verborgen agenda's achter de formules.

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.

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.