India AI Socio Legal Workshop Insights – AI in Everyday Life

Discover key insights from the India AI socio legal workshop, exploring AI governance, human rights, and everyday implications in India.

The National Law School of India University (NLSIU), in collaboration with the University of Amsterdam, the Centre for Interdisciplinary Methodologies at the University of Warwick, and Tilburg University, recently organized the India AI socio legal workshop insights titled “AI in the Everyday in India”. This unique socio-legal workshop, held at the NLSIU Training Centre on Saturday, January 10, 2026, focused on the intersections of artificial intelligence, legal frameworks, and everyday life in India.

The event brought together scholars, policymakers, and legal practitioners to examine the impact of AI technologies on daily governance, surveillance, welfare schemes, and the criminal justice system in India. Discussions emphasized how algorithmic governance interacts with socio-legal structures and highlighted gaps between AI implementation and existing laws.

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Understanding AI and Everyday Life in India

The workshop provided a platform to generate conceptual frameworks and methodological tools for studying AI in the everyday lives of Indian citizens. Participants explored the comparative perspectives of AI governance, accounting for unique socio-political histories, and examined how AI technologies are received in the Global South.

Key focus areas included:

• Algorithmic governance in policing
• AI surveillance in public spaces
• AI in welfare provisioning
• Cross-border AI applications

This approach enabled participants to identify practical solutions for bridging the gap between AI innovation and legal oversight in India.

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Programme Highlights

The workshop featured a comprehensive schedule with thematic sessions:

Morning Session: AI Challenges to Democracy and Justice

• Chair: Rahul Hemrajani
• Presentations:
  • Interoperable Criminal Justice System in India – Nupur Chowdhury
  • Law, Ethics, and AI in Urban Traffic Enforcement – Rajesh Kumar
  • AI-Enabled Government Surveillance in India – Nikhil Purohit
  • Democratic Backsliding in the Global Majority – Anmol Diwan

Afternoon Session: Governance, Human Rights, and AI Infrastructures

• Chair: Siddharth de Souza
• Discussions:
  • Digital Health Projects and AI Governance – Anamika Kundu
  • Ecologies of AI in India – Preeti Raghunath & Suriya Krishna B S
  • Role of State and Non-State Actors in AI Governance – Devyani Pande
  • AI and Human Rights: A Posthuman Conundrum – Manpreet Singh
  • Inclusion, Innovation, and AI in Law – Krishna Ravi Srinivas

Evening Session: Imaginations and Futures of AI

• Chair: Sagnik Dutta
• Presentations:
  • Constitutional Intelligibility in the Age of AI – Shaunna Rodrigues
  • Masculine Rhythm of Algorithmic Solutions – Debangana Chatterjee
  • Decolonising AI Personhood – Shrawani Shagun & Sanchet Sharma
  • Building AI Futures from Below – Bhawna Parmar

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Expert Insights and Implications

Experts highlighted the transformative potential of AI in governance, while also emphasizing the ethical and legal challenges. Dr. Siddharth de Souza noted that AI technologies could strengthen welfare delivery but must be paired with robust legal frameworks to protect citizen rights. Similarly, Dr. Preeti Raghunath emphasized the need for inclusive innovation strategies that prioritize human rights and local socio-cultural contexts.

The discussions also stressed the importance of AI and everyday life legal challenges India, urging scholars and policymakers to ensure that AI systems are transparent, accountable, and aligned with democratic principles.

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Importance of Socio-Legal Workshops on AI

Socio-legal workshops like these are vital for understanding the real-world implications of AI in India. They provide a platform for cross-disciplinary dialogue, help identify policy gaps, and promote collaborative solutions to complex governance challenges. Participants also explored comparative methodologies, drawing lessons from other countries while contextualizing them for India.

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Takeaways for Policy and Research

• AI technologies must be accompanied by adaptive legal frameworks.
• Policymakers need to consider the social, cultural, and historical contexts of AI deployment.
• Collaborative research networks are essential for bridging technical innovation with socio-legal realities.
• Transparency and accountability are crucial to mitigate AI-driven inequalities.

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Related Learning Resources

• NCERT Courses for AI and law-related studies
• Current Affairs for updates on AI governance policies
• Notes and MCQs for exam preparation
• Video Tutorials on AI ethics and law
• NCERT PDFs and Mind Maps for structured learning

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Conclusion

The India AI socio legal workshop insights underscored the critical intersection of technology, law, and society. By addressing challenges in AI governance, human rights, and everyday legal applications, the workshop created a roadmap for responsible AI deployment in India. Events like this help build a more inclusive, transparent, and accountable AI ecosystem, ensuring that innovation benefits society while upholding democratic values.

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10 Frequently Asked Questions (FAQs)

1. What was the main focus of the India AI socio legal workshop insights?
   The workshop explored AI in everyday life, governance, and legal challenges in India.
2. Which institutions collaborated with NLSIU for the workshop?
   University of Amsterdam, University of Warwick, and Tilburg University.
3. Who were some key speakers at the workshop?
   Siddharth de Souza, Rahul Hemrajani, Nupur Chowdhury, Rajesh Kumar, among others.
4. What topics were discussed regarding AI and human rights?
   Human rights implications, posthuman conundrums, and inclusive AI governance.
5. How does AI impact everyday life in India?
   Through algorithmic governance, public surveillance, welfare systems, and justice administration.
6. Why are socio-legal workshops important for AI policy in India?
   They bridge research, policy, and practice, fostering responsible AI deployment.
7. Which session addressed AI in urban traffic enforcement?
   The morning session, led by Rajesh Kumar.
8. What strategies were suggested for inclusive AI innovation?
   Contextualized legal frameworks, transparency, accountability, and citizen participation.
9. How can students learn more about AI governance in India?
   Through NCERT courses, notes, MCQs, video tutorials, and PDFs.
10. Where can one find related educational resources online?
    NCERT Courses, Current Affairs, Notes, MCQs, Videos, NCERT PDFs, and Mind Maps.