Emerging Technologies, Hidden Biases: Gender and the New Frontiers of Security
Mahera Imam and
Prof N. Manimekalai
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Mahera Imam: Research Scholar, Department of Women’s Studies, Khajamalai Campus, Bharathidasan University, Tiruchirappalli, Tamil Nadu-620023
Prof N. Manimekalai: Director, Centre for Women’s Development Studies, New Delhi, 110001
International Journal of Research and Innovation in Social Science, 2024, vol. 8, issue 12, 4130-4136
Abstract:
The rapid integration of digital technologies into communication, work, healthcare, and security has transformed modern life. However, these advancements often perpetuate or exacerbate existing social inequalities. Emerging technologies, designed within specific social, economic, and cultural frameworks, are imbued with hidden biases that disproportionately affect marginalized groups, particularly women and gender-diverse individuals. This paper firstly, it explores algorithmic biases, highlighting how machine learning systems trained on biased datasets reinforce harmful stereotypes and disadvantage underrepresented groups. Second, it addresses surveillance capitalism, drawing on Shoshana Zuboff’s framework to analyse how the commodification of personal data disproportionately impacts women, making them vulnerable to privacy violations and exploitation. Third, the paper investigates digital vulnerabilities, focusing on the risks women face in online spaces, such as cyberstalking, harassment, and non-consensual image sharing, illustrated by cases like the Sulli Deals and Bulli Bai apps. Grounded in feminist theory, the paper argues for inclusive and equitable technology design practices. It advocates for diverse datasets, transparent algorithmic decision-making, and robust digital privacy protections to ensure that technology does not reinforce societal inequities but instead serves as a tool for empowerment and equality. By reimagining the priorities of technological development, this analysis calls for a shift towards inclusivity, equity, and safety as foundational principles for the digital age.
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:bcp:journl:v:8:y:2024:i:12:p:4130-4136
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