AI for All? Workshop Reports

Reports from our Policy Lab series on the use of automated algorithimic decision making systems in India.

Niti Aayog released India's draft national strategy for Artificial Intelligence in 2018. Titled AI for All, the draft strategy emphasised that AI could help address social sector problems in India. It also positioned India as a garage for developing AI solutions for the developing world. The strategy paper spent a considerable amount of space discussing the opportunities, but much less attention was devoted to the risks, challenges, and societal conundrums.

We organised a series of policy labs to identify and unpack some of the challenges and risks in the sectors identified in the strategy paper. Spanning over 12 months, our policy labs brought together a wide range of stakeholders, from government, industry, civil society, media and academia.

Initiative

AI & Society

Authors

Urvashi Aneja

Urvashi studies the politics, social impacts, and ethics of technology transitions in the global south. She has written extensively on the challenges and risks of AI in India, the emerging gig economy and labor well-being, data governance and gender and technology. She has served on government committees for artificial intelligence and frontier technologies. Urvashi is also an Associate Fellow at Chatham House, a Tech and Social justice champion at the World Economic Forum, and a former member of the T20 Task Force for the Future of Work in the G20. She regularly writes for national media publications and has been quoted in the BBC, Reuters, CNBC, Times of India, and Indian Express, among others. Previously she was a Research Fellow at the Observer Research Foundation and Associate Professor at the Jindal School of International Affairs. Urvashi has a Doctorate from the Department of Political Science and International Relations at the University of Oxford

Angelina Chamuah

Angelina Chamuah is a Research Fellow at Tandem Research. Her current work examines the social and ethical implications of AI and other emerging technologies in India. She has been studying the impact of AI in India across different sectors including agriculture, healthcare, policing, and finance. Key to her research are questions of values and interests that drive socio-technological imaginaries of AI and the future of AI governance in India. In addition to AI, her research interests include the role of Big Tech companies in India, politics of data and human-machine interaction. She holds an M.Phil in Sociology and a Masters in Sociology from the Delhi School of Economics, DU.

Zaheb Ahmad

Zaheb is a Research Fellow at Tandem Research. His work explores institutions and governance arrangements in India, anchoring people-centred approaches to the environment and data. Zaheb is currently working on setting up an 'urban living lab' in Panaji - an experimental governance approach, established at the boundaries between research, innovation and policy, for urban sustainability transitions in India. Zaheb holds an LL.M with specialisation in Environmental Law from the University of California, Berkeley, School of Law, and B.L.S, LL.B from Government Law College, University of Mumbai. His Master’s research deconstructs the functioning of the Environmental Impact Assessment mechanism in India and explores environmental justice implications for impacted communities.

Vikrom Mathur

Vikrom believes that interdisciplinary research on cultural attitudes towards nature and technology need to inform contemporary debates on societal futures. His research interests include the governance of emerging technologies, social and cultural dimensions of technological transitions, cultural perceptions of environmental risk, dynamics between science and policy, and Cultural Theory. He is currently setting up India’s first Urban Living Lab in Panjim as a platform to design, test and fine-tune socio-technical innovation in local urban spaces. He has a PhD from the Institute of Science, Society, and Innovation at the University of Oxford.

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