DeepLearning.AI

Abeba Birhane: Clean up web datasets

From language to vision models, deep neural networks are marked by improved performance, higher efficiency, and better generalizations. Yet, these systems are also marked by perpetuation of bias and injustice.

Abeba Birhane

Abeba Birhane: Clean up web datasets

From language to vision models, deep neural networks are marked by improved performance, higher efficiency, and better generalizations. Yet, these systems are also marked by perpetuation of bias and injustice.

Abeba Birhane

Crawl the Web, Absorb the Bias: NLP Models Absorb Biases from Web Training Data

The emerging generation of trillion-parameter models needs datasets of billions of examples, but the most readily available source of examples on that scale — the web — is polluted with bias and antisocial expressions. A new study examines the issue.

Abeba Birhane

Crawl the Web, Absorb the Bias: NLP Models Absorb Biases from Web Training Data

The emerging generation of trillion-parameter models needs datasets of billions of examples, but the most readily available source of examples on that scale — the web — is polluted with bias and antisocial expressions. A new study examines the issue.

Abeba Birhane

Abeba Birhane: Clean up web datasets

Abeba Birhane: Clean up web datasets

Crawl the Web, Absorb the Bias: NLP Models Absorb Biases from Web Training Data

Crawl the Web, Absorb the Bias: NLP Models Absorb Biases from Web Training Data

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