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Bias in technology

Published:20 December 2016Publication History
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Abstract

As leading companies release troubling diversity statistics, experts search for solutions.

References

  1. Diversity in High Tech, U.S. Equal Employment Opportunity Commission, 2015. http://www.eeoc.gov/eeoc/statistics/reports/hightech.Google ScholarGoogle Scholar
  2. Hewlett, S.A., Luce, C.B., Servon, L.J., et. al. The Athena Factor: Reversing the Brain Drain in Science, Engineering, and Technology, a Harvard Business Review Research Report, 2008.Google ScholarGoogle Scholar
  3. Intel Corporation & Dalberg Global Investment Advisors Decoding Diversity: The Financial and Economic Returns to Diversity in Tech, 2016. http://bit.ly/2bHEFuN.Google ScholarGoogle Scholar
  4. Zweben, S. and Bizot, B. 2015 Taulbee Survey: Continued Booming Undergraduate CS Enrollment; Doctoral Degree Production Dips Slightly, Computing Research News, May 2016, Vol. 28 / No. 5.Google ScholarGoogle Scholar

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  1. Bias in technology

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            • Published in

              cover image Communications of the ACM
              Communications of the ACM  Volume 60, Issue 1
              January 2017
              95 pages
              ISSN:0001-0782
              EISSN:1557-7317
              DOI:10.1145/3028256
              • Editor:
              • Moshe Y. Vardi
              Issue’s Table of Contents

              Copyright © 2016 ACM

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              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 20 December 2016

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