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Entities

Boston University

Incidents involved as both Developer and Deployer

Incident 121 Report
Common Biases of Vector Embeddings

2016-07-21

Researchers from Boston University and Microsoft Research, New England demonstrated gender bias in the most common techniques used to embed words for natural language processing (NLP).

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Related Entities
Other entities that are related to the same incident. For example, if the developer of an incident is this entity but the deployer is another entity, they are marked as related entities.
 

Entity

Microsoft Research

Incidents involved as both Developer and Deployer
  • Incident 12
    1 Report

    Common Biases of Vector Embeddings

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Entity

Google

Incidents involved as Developer
  • Incident 12
    1 Report

    Common Biases of Vector Embeddings

More
Entity

Women

Incidents Harmed By
  • Incident 12
    1 Report

    Common Biases of Vector Embeddings

More
Entity

Minority Groups

Incidents Harmed By
  • Incident 12
    1 Report

    Common Biases of Vector Embeddings

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