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Gender, race and power in AI

Date of publication: October 19, 2020

Catalogue: Latin America 2020 - Insights Festival

Companies: ScaleHouse, Women in Research (WIRe)

Authors: Kristin Luck, Jessica Sage

Abstract:

AI is one of the hottest topics in the industry and its potential to enhance and improve data analysis could be considered unparalleled. But how to ensure that the AI we utilize doesn't produce bigger data gaps than it fixes?

Kristin Luck

Author

This is a long description of some author details.

Jessica Sage

Author

This is a long description of some author details.

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Citation

Luck and Sage (2020a, October 19). Gender, race and power in AI. ANA - ESOMAR. Retrieved May 13, 2025, from


https://ana.esomar.org/documents/gender-race-and-power-in-ai