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Bias

A collection of 3 posts

The Man, The Machine, And The Black Box: ML Observability
Bias

The Man, The Machine, And The Black Box: ML Observability

Aparna Dhinakaran, Co-Founder & CPO of Arize AI, explores the challenges organizations face in checking for model fairness, such as the lack of access to protected class information to check for bias and diffuse organizational responsibility of ensuring model fairness....

  • Nikita Johnson
    Nikita Johnson
14 September 2021
Artist Gender Representation in Music Streaming
Fighting AI Bias

Artist Gender Representation in Music Streaming

Avriel Epps Darling, researcher, entrepreneur and artist talks about her ongoing research on how online machine learning-driven ecologies influence the youth of colour, biasses within the music industry and streaming and more....

  • Nikita Johnson
    Nikita Johnson
1 April 2021
Can We Trust AI?
Trusted AI

Can We Trust AI?

This article explores building trust in AI, the risks in AI, and how to best build trust in AI through frameworks and guidelines....

  • Mia Clarke
    Mia Clarke
4 March 2021
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