The avatar generator, Lensa, has stoked the fires of the AI art debate; Sasha John considers both sides and poses some more important questions on the implications of AI art.
Digital Futures Lab's Aman Nair and xKDR's Rishab Bailey submitted comments on the draft Indian Telecommunications Bill, 2022. Here are the highlights.
Open data initiatives could give developing economies the edge in the fourth industrial revolution. India’s approach offers learnings for all.
'Can Digital Public Goods Deliver More Equitable Futures?' is part of UNDP RBAP's knowledge briefs to help reframe and inform the ways we imagine and shape development futures in the Asia Pacific.
How might we reimagine gov-tech for citizen-driven futures? We urgently need new imaginaries to steer technology and policy toward preferable outcomes.
DFL collaborated with GIZ & HSRC to create a capacity-building course - and a handbook on how to replicate it - geared toward policymakers invested in learning more about AI governance.
Much of the scholarship on AI governance is based on the experiences of a few western industrialised economies. This book imagines alternative frameworks for AI governance from the global south
Regulation of cryptocurrency and cryptoexchanges in India is in a 'grey area' under e-commerce regulation. Here's why that matters.
This DFL report is accompanied by a graphic short that highlights the challenges faced by different, integral workers in the data life-cycles specific to healthcare and agriculture in India.
A panel discussion with 4 disability rights experts on the inaccessibility of COVID-specific digital health services.
Tech companies and investors are hailing the metaverse as the future of the web. But what are the likely human rights implications and who gets to reap the benefits?
This study examines the data practices entailed in building AI systems for healthcare and agriculture in India.
This paper explores obstacles, ideological divides and the way forward for the free and open-source software movement in India.
The paper examines the infrastructural roles played by Big Tech platforms in India and whether the Essential Facilities Doctrine can be an effective regulatory tool.
This piece explores the implications of adopting a risk-based approach to regulating Artificial Intelligence in India.
Alongside ‘problem solving’ approaches that focus on reducing the harm produced by AI, we also need ‘problem diagnosis' approaches that examine how current AI imaginaries & economies have arisen.
The first in a series of working papers examining the different meanings and practices of responsiblity in science and technology.
Sandeep Mertia shares insights his recent book ( Editor) Lives of Data: Computational Cultures in India.
This paper explores the concept of co-design between technology companies and civil society, using COVID-19 technology interventions as an entry point.
Nayantara Ranganathan presents her latest paper on the use of biometric data for private sector profit in India.
In this talk, Bidisha Chaudhuri discusses how India's digital identity system is altering the relationship between citizens and the state.
This report considers the suitability of a risk-based approach to the governance of AI in the Indian context.
Rajesh Hanbal & Janaki Srinivasan present their latest paper on data production in government information systems.
The webinar presents some of the key learnings and recommendations from our research on AI in India, and features a moderated panel discussion on the governance of AI in India.
Arun Sukumar presents his latest paper on digital public goods.
This report presents an exhaustive study on the current uses of AI in India, reviewing 70+ use cases across 9 key sectors, including policing, agriculture, health, and education.
This report examines the impact of Big Tech companies on Indian markets and society.
We examine the proposed NODE framework and draw attention to issues of governance, institutional capacity, and community engagement.