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Rumman Chowdhury

Showing results (1-10 of 5) with videos related to

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Nature|April 9, 2024
AI-fuelled election campaigns are here - where are the rules?Rumman Chowdhury
Patterns (New York, N.Y.)|February 24, 2022
A Silicon Valley love triangle: Hiring algorithms, pseudo-science, and the quest for auditabilityMona Sloane, Emanuel Moss, Rumman Chowdhury
Nature|October 10, 2019
Machine behaviour is old wine in new bottlesEmanuel Moss, Rumman Chowdhury, Bogdana Rakova, et al.
Patterns (New York, N.Y.)|August 21, 2023
Erratum: Measuring disparate outcomes of content recommendation algorithms with distributional inequality metricsTomo Lazovich, Luca Belli, Aaron Gonzales, et al.
Patterns (New York, N.Y.)|August 29, 2022
Measuring disparate outcomes of content recommendation algorithms with distributional inequality metricsTomo Lazovich, Luca Belli, Aaron Gonzales, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Nature|April 9, 2024
AI-fuelled election campaigns are here - where are the rules?Rumman Chowdhury
Patterns (New York, N.Y.)|February 24, 2022
A Silicon Valley love triangle: Hiring algorithms, pseudo-science, and the quest for auditabilityMona Sloane, Emanuel Moss, Rumman Chowdhury
Nature|October 10, 2019
Machine behaviour is old wine in new bottlesEmanuel Moss, Rumman Chowdhury, Bogdana Rakova, et al.
Patterns (New York, N.Y.)|August 21, 2023
Erratum: Measuring disparate outcomes of content recommendation algorithms with distributional inequality metricsTomo Lazovich, Luca Belli, Aaron Gonzales, et al.
Patterns (New York, N.Y.)|August 29, 2022
Measuring disparate outcomes of content recommendation algorithms with distributional inequality metricsTomo Lazovich, Luca Belli, Aaron Gonzales, et al.
Pageof 1