ItemBook Chapter

Global Anti-Discrimination Law and AI Concerning Imposter Syndrome and Legal Frameworks: Gender, Diversity, and Intersectional Bias in Professional Advancement Technology

Title
Global Anti-Discrimination Law and AI Concerning Imposter Syndrome and Legal Frameworks: Gender, Diversity, and Intersectional Bias in Professional Advancement Technology
Creator
Saxena, Sheersha; Shastri, Arunima; Kumar, Rakesh Ranjan; Sharma, Nitya
Description
In the age of artificial intelligence, strong anti-discrimination laws are important for more than just following the rules. It includes social, ethical and economic issues of interest to technologists and non-technologists alike. The regulations would help reduce the chance that AI perpetuates stereotypes that limit women and other groups, based on preconceived ideas. Lost impostor syndrome, behind-thescenes and careers being ruined by AI-bias fuel psychological damage to self-esteem, job satisfaction, retention etc.AI bias If bias exits in neural networks that has emerged in the workforce, " then its best to circumvent such bias before problems arise. In that chapter, it examines how international antidiscrimination law links to AI, with examples of impostor syndrome. It also explores the intersection of this technology with global anti-discrimination laws, and in doing so, reveals significant legal and sociotechnical implications. 2026 by IGI Global Scientific Publishing. All rights reserved.
Source
Imposter Syndrome and AI: Navigating Human Identity in the Age of Intelligent Machines;pp.197-216
Date
01-01-2026
Publisher
IGI Global
Coverage
Saxena S., Vivekananda Global University, India; Shastri A., Christ University, Bangalore, India; Kumar R.R., School of Business, Galgotias University, Greater Noida, India; Sharma N., Vivekananda Global University, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833736620-3; 979-833736618-0;
Format
online
Language
English
Type
Book chapter

Citation

Saxena, Sheersha; Shastri, Arunima; Kumar, Rakesh Ranjan; Sharma, Nitya, “Global Anti-Discrimination Law and AI Concerning Imposter Syndrome and Legal Frameworks: Gender, Diversity, and Intersectional Bias in Professional Advancement Technology,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/24865.

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