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Discriminating Systems

Discriminating Systems

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Gender, Race and Power in AI

SUMMARY

This report on AI highlights the diversity crisis in the AI industry when it comes to gender and race.  According to recent studies mentioned in this paper, just 18% of authors at key AI conferences are women, while more than 80% of AI professors are men.

When it comes to the AI industry the gender disparity is huge, the report notes. For instance, women represent only 15% of AI research staff at Facebook and just 10% at Google, according to this report. For black workers, the disparity is even bigger. To give an example, just 2.5% of Google’s workforce is black, while Facebook and Microsoft are at 4%, the paper states.

The report reveals that the AI industry has to go through a deep change in the way it addresses the present diversity crisis. It is incumbent that the AI sector recognizes the seriousness of the gender diversity problem and acknowledges that the systems in place have not been successful in putting a stop to unequal power distribution within the AI industry, the study notes.

Another of the report's findings is that the use of AI systems for the classification, detection, and prediction of race and gender, has to be urgently reassessed. These systems, the study explains, replicate patterns of racial and gender bias in ways that can make inequality even deeper. Moreover, the use of these AI tools for commercial purposes is highly concerning, the report indicates.

OUTLINE

Key Findings, Recommendations and Introduction 

Humans And Ai Systems 

Statistics In The Ai Industry and Diversity

Initiatives by Workers

Conclusions

DETAILS

Overview

Researchfinder Rating
5 out of 5 stars
Title
Discriminating Systems
Sub-Title
Gender, Race and Power in AI
Region
Global
Published
April 1, 2019
Publisher
AI Now
Author(s)
Sarah Myers West, Meredith Whittaker, Kate Crawford
Price
FREE
Language
ENGLISH

Content

Number of Pages
33
Number of Tables
0
Number of Exhibits
0
Topics
ai
Tags
AI, AI applications, AI regulation, gender gap, global
Companies mentioned
Google, Facebook, Microsoft, Tesla, Microsoft, Dragon
Author(s)
Sarah Myers West, Meredith Whittaker, Kate Crawford
Methodology
Not available.
EVALUATION

This comprehensive report is focused on the gender gap and gender diversity issue in the tech sector and more precisely in the AI industry.

Positives:

  • Understandable language
  • Understandable conclusions and findings
  • Includes examples of bias and discrimination in the workforce across leading tech companies that are driving the development of AI technologies
  • Interesting information about worker-led initiatives to address the gender gap issue in AI companies

 

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