AI Governance and Gender Inclusion: Challenges for India's Informal Women Workforce
Contents4
The Hindu - Opinion · 29 Jul 2026 · 2 min read
Prelims · Social issues Mains · GS2 Governance High relevance
India's AI adoption must address gender disparities in informal sectors to ensure inclusive growth, with 82% of working women in informal employment facing unique barriers to technology access.
Key points
Informal Women Workforce constitutes 82% of working women in India, primarily in agriculture, home-based production, and domestic services, as per 2018 ILO data, highlighting their exclusion from formal tech benefits.
AI Governance Guidelines 2025 outline seven principles including fairness and equity, but lack gender-specific operational frameworks for informal sectors, creating a policy gap in inclusive AI deployment.
[GS3-Economy] AI applications like Farmer.Chat show 61% quality-of-life improvement for women users in agriculture, proving targeted design can bridge gender gaps in tech adoption when addressing language and mobility constraints.
Gender Impact Assessments are proposed as mandatory for AI systems affecting economic opportunities, requiring examination of outcomes by sex, caste, and work status with regional language redressal mechanisms.
AI Literacy Programs must integrate with existing schemes like DAY-NRLM and DDU-GKY to overcome time constraints and low literacy among informal women workers, using community networks like Mission Shakti.
[GS2-Governance] The IT (Amendment) Rules 2021 and proposed AI-content labeling by MeitY aim to combat digital violence against women, but implementation lacks regional language accessibility for effective grievance redressal.
IndiaAI Mission and BHASHINI multilingual platform provide infrastructure, but procurement standards and training must prioritize women in informal work to translate tech gains into inclusive growth.
Way Forward: Implement mandatory gender audits for all public AI projects, scale vernacular AI literacy programs through SHGs, and establish regional digital safety cells under NCW to monitor tech-facilitated violence.
Key terms
- Informal Women Workforce
- The 82% of Indian working women engaged in unregulated employment without social security, primarily in agriculture (76.9% rural women), domestic work, and micro-enterprises. Their exclusion from formal tech adoption undermines SDG 5 (Gender Equality) and 8 (Decent Work), making them critical for inclusive AI policy frameworks.
- AI Governance Guidelines 2025
- India's seven-principle framework for ethical AI development, emphasizing fairness, equity, and transparency. Its UPSC relevance lies in operationalizing constitutional Article 14 (Equality) and Article 39 (Livelihood Rights) through gender-responsive tech policy, aligning with Digital India goals.
- Gender Impact Assessment
- A systematic evaluation of how AI systems affect women differently, mandated under the 2025 Guidelines. For UPSC, this connects to GS2's governance questions on policy implementation and GS3's inclusive growth challenges, requiring intersectional analysis of caste, disability, and work status.
- BHASHINI
- The National Language Translation Mission's AI platform enabling multilingual digital access. Its UPSC significance lies in federalism (Eighth Schedule languages) and bridging the digital divide under Digital Public Infrastructure, crucial for reaching non-English speaking women in informal sectors.
Practice question
Critically analyze the challenges faced by India's informal women workforce in accessing AI-driven technologies, and suggest measures to ensure gender-inclusive AI governance. (250 words, 15 marks)
GS2 15 marks 250 words Mains
Key terms to include: Gender Impact Assessment BHASHINI Informal Women Workforce AI Governance Guidelines 2025 DAY-NRLM DDU-GKY Digital Public Infrastructure SDG 5
Answer framework
Introduction
Briefly introduce the context of India's informal women workforce (82% of working women) and the growing adoption of AI technologies. Highlight the need for gender-inclusive AI governance.
Challenges in Accessing AI Technologies
Lack of gender-specific operational frameworks in AI Governance Guidelines 2025 despite principles of fairness and equity.
Low literacy and time constraints among informal women workers, limiting participation in AI literacy programs.
Digital violence and lack of regional language accessibility in grievance redressal mechanisms under IT (Amendment) Rules 2021.
Impact of Exclusion
Perpetuation of gender disparities in informal sectors like agriculture and domestic work.
Undermining of SDG 5 (Gender Equality) and SDG 8 (Decent Work) due to lack of inclusive growth.
Measures for Gender-Inclusive AI Governance
Implement mandatory Gender Impact Assessments for AI systems, examining outcomes by sex, caste, and work status.
Scale vernacular AI literacy programs through SHGs and integrate with schemes like DAY-NRLM and DDU-GKY.
Establish regional digital safety cells under NCW to monitor tech-facilitated violence and ensure multilingual accessibility.
Conclusion
Emphasize the need for a multi-stakeholder approach involving government, private sector, and civil society to bridge the gender gap in AI adoption. Highlight the role of constitutional principles like Article 14 and 39 in guiding inclusive AI policies.
Fact check
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