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Gender Discrimination at Workplace: Do Artificial Intelligence (AI) and Machine Learning (ML) Have Opinions About It

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Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021) (AICV 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1377))

Abstract

The gender discrimination problem started from day one when they entered professional offices, factories, businesses, institutions, and other organizations. Despite strict regulations and laws, gender-based discrimination can be seen in almost all working places. However, its types and gravity may change with the place, sectors, or development level of a country. The complaints and protests of affected women roar severely about humanity’s failure to solve this alarming problem consistently. This issue may remain invisible or limelight through discriminated actions during job recruitment, assigning duties, salary packages, benefits, performance assessments, promotions, communications, behavior, trusts, and responsibilities. The women promoted to managerial level always remained lesser in number. Even the fellow women at senior positions discriminate their gender. This reveals the peak of the problem. Therefore, women’s discrimination is a prioritized issue that concerted efforts of all stakeholders must tackle. Also, the link between Artificial Intelligence, Machine Learning, and Gender discrimination has been discussed in this paper. Finally, a set of gender discrimination mitigating strategies has been suggested in this article.

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Author information

Authors and Affiliations

  1. Department of Business Administration, College of Business, Al Ain University, Abu Dhabi Campus, P.O. Box 112612, Abu Dhabi, UAE

    Mohammed T. Nuseir

  2. Department of Business Administration, Faculty of Economics and Administrative Sciences, The Hashemite University, Zarqa, Jordan

    Barween H. Al Kurdi

  3. Department of Marketing, School of Business, The University of Jordan, Amman, Jordan

    Muhammad T. Alshurideh

  4. Department of Management, College of Business Administration, University of Sharjah, Sharjah, UAE

    Muhammad T. Alshurideh

  5. Skyline University College, Sharjah, UAE

    Haitham M. Alzoubi

Authors
  1. Mohammed T. Nuseir
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  2. Barween H. Al Kurdi
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  3. Muhammad T. Alshurideh
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  4. Haitham M. Alzoubi
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Corresponding author

Correspondence to Muhammad T. Alshurideh .

Editor information

Editors and Affiliations

  1. Information Technology Department, Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Faculty of Sciences and Techniques, Hassan 1st University, Settat, Morocco

    Abdelkrim Haqiq

  3. School of Medicine, University of Missouri, Columbia, MO, USA

    Peter J. Tonellato

  4. ISAE-ENSMA, Futuroscope Chasseneuil Cedex, France

    Ladjel Bellatreche

  5. British University Vietnam, Hung Yen, Vietnam

    Sam Goundar

  6. Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt

    Ahmad Taher Azar

  7. NEST Research Group, ENSEM, Hassan II University of Casablanca, Casablanca, Morocco

    Essaid Sabir

  8. High National School for Computer Science and Systems Analysis (ENSIAS), Mohammed V University, Rabat, Morocco

    Driss Bouzidi

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Nuseir, M.T., Al Kurdi, B.H., Alshurideh, M.T., Alzoubi, H.M. (2021). Gender Discrimination at Workplace: Do Artificial Intelligence (AI) and Machine Learning (ML) Have Opinions About It. In: Hassanien, A.E., et al. Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021). AICV 2021. Advances in Intelligent Systems and Computing, vol 1377. Springer, Cham. https://doi.org/10.1007/978-3-030-76346-6_28

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