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AI can be sexist and racist — it’s time to make it fair

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  • James Zou
  • Londa Schiebinger

Abstract

Computer scientists must identify sources of bias, de-bias training data and develop artificial-intelligence algorithms that are robust to skews in the data, argue James Zou and Londa Schiebinger.

Suggested Citation

  • James Zou & Londa Schiebinger, 2018. "AI can be sexist and racist — it’s time to make it fair," Nature, Nature, vol. 559(7714), pages 324-326, July.
    • Handle: RePEc:nat:nature:v:559:y:2018:i:7714:d:10.1038_d41586-018-05707-8
    DOI: 10.1038/d41586-018-05707-8
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    Cited by:

    1. Alexandru Constantin Ciobanu & Gabriela Meè˜Nièšä‚, 2021. "Ai Ethics In Business €“ A Bibliometric Approach," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 28, pages 169-202, December.
    2. Stefan Feuerriegel & Mateusz Dolata & Gerhard Schwabe, 2020. "Fair AI," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(4), pages 379-384, August.
    3. Vaishali U. Gongane & Mousami V. Munot & Alwin D. Anuse, 2024. "A survey of explainable AI techniques for detection of fake news and hate speech on social media platforms," Journal of Computational Social Science, Springer, vol. 7(1), pages 587-623, April.
    4. Antoine Richard & Brice Mayag & François Talbot & Alexis Tsoukias & Yves Meinard, 2020. "What does it mean to provide decision support to a responsible and competent expert?," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 8(3), pages 205-236, November.
    5. Feras A. Batarseh & Munisamy Gopinath & Anderson Monken, 2020. "Artificial Intelligence Methods for Evaluating Global Trade Flows," International Finance Discussion Papers 1296, Board of Governors of the Federal Reserve System (U.S.).
    6. Chien-Wei Chuang & Ariana Chang & Mingchih Chen & Maria John P. Selvamani & Ben-Chang Shia, 2022. "A Worldwide Bibliometric Analysis of Publications on Artificial Intelligence and Ethics in the Past Seven Decades," Sustainability, MDPI, vol. 14(18), pages 1-13, September.
    7. Charlene H. Chu & Simon Donato-Woodger & Shehroz S. Khan & Rune Nyrup & Kathleen Leslie & Alexandra Lyn & Tianyu Shi & Andria Bianchi & Samira Abbasgholizadeh Rahimi & Amanda Grenier, 2023. "Age-related bias and artificial intelligence: a scoping review," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-17, December.
    8. Premilla D’Cruz & Shuili Du & Ernesto Noronha & K. Praveen Parboteeah & Hannah Trittin-Ulbrich & Glen Whelan, 2022. "Technology, Megatrends and Work: Thoughts on the Future of Business Ethics," Journal of Business Ethics, Springer, vol. 180(3), pages 879-902, October.
    9. Haraguchi, Masahiko & Funahashi, Tomomi & Biljecki, Filip, 2024. "Assessing governance implications of city digital twin technology: A maturity model approach," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
    10. Nasir, Osama & Javed, Rana Tallal & Gupta, Shivam & Vinuesa, Ricardo & Qadir, Junaid, 2023. "Artificial intelligence and sustainable development goals nexus via four vantage points," Technology in Society, Elsevier, vol. 72(C).
    11. Marie McAuliffe & Jenna Blower & Ana Beduschi, 2021. "Digitalization and Artificial Intelligence in Migration and Mobility: Transnational Implications of the COVID-19 Pandemic," Societies, MDPI, vol. 11(4), pages 1-13, November.
    12. Neukam, Marion & Bollinger, Sophie, 2022. "Encouraging creative teams to integrate a sustainable approach to technology," Journal of Business Research, Elsevier, vol. 150(C), pages 354-364.
    13. Fleischer, Hannes, 2020. "Stereotypes in Services - A Systematic Literature Review to Move from Scattered Insights to Generalizable Knowledge," SMR - Journal of Service Management Research, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 4(4), pages 216-236.
    14. Andrew Sudmant & Vincent Viguié & Quentin Lepetit & Lucy Oates & Abhijit Datey & Andy Gouldson & David Watling, 2021. "Fair weather forecasting? The shortcomings of big data for sustainable development, a case study from Hubballi‐Dharwad, India," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(6), pages 1237-1248, November.
    15. Mohammad I. Merhi, 2023. "An Assessment of the Barriers Impacting Responsible Artificial Intelligence," Information Systems Frontiers, Springer, vol. 25(3), pages 1147-1160, June.
    16. Chuhan Wu & Fangzhao Wu & Tao Qi & Wei-Qiang Zhang & Xing Xie & Yongfeng Huang, 2022. "Removing AI’s sentiment manipulation of personalized news delivery," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-9, December.
    17. Michael A. Flynn & Pietra Check & Andrea L. Steege & Jacqueline M. Sivén & Laura N. Syron, 2021. "Health Equity and a Paradigm Shift in Occupational Safety and Health," IJERPH, MDPI, vol. 19(1), pages 1-13, December.

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