Digital Futures Lab

Two weeks since the launch of the Global South Network for Trustworthy AI at the IndiaAI Impact Summit 2026 — and we’re still energised by the response from leaders across government, industry, philanthropy, and civil society. Why does this network matter? 🧵

4/4 We'll be unpacking this live on March 24 with two panellists: Jhalak Kakkar (NLU Delhi) and Justice (Retd.) Rajiv Shakdher. Registration is mandatory. Seats are limited. 👉 lnkd.in/gu_H55xt

1/4 The Supreme Court of India flagged it earlier this year: AI-generated fake citations in judgments. An "institutional concern" with a direct bearing on judicial integrity. AI in courts isn't a future scenario. It's the present.

3/4 Our report names four things most court AI adoption is missing: - Readiness assessment before deployment - Rights-based risk identification - Independent technical evaluation - Post-deployment monitoring

2/4 Here's why our March 24 report launch with DAKSH & UNDP matters. 🧵 Transcription that mishears. Translation that flattens nuance. Summarisation that drops context. In a courtroom, these aren't just errors. They affect real outcomes.

AI is already in India's courtrooms. The question is whether that adoption is happening responsibly. With @daksh_india & @UNDP, we're launching a report that offers practical answers. 📅 March 24, 2026 | 📍 New Delhi Register for the launch 👇🏽 docs.google.com/forms/d/e/1FAI…

At Digital Futures Lab, we’re excited to help grow this coalition and contribute to shaping a stronger conversation on AI trustworthiness in the Global South. More to come. 🌍 Watch the launch event here: youtube.com/watch?v=pZd2-P…

We were honoured to hear keynote remarks from Mr Abhishek Singh (@GoI_MeitY), Ambassador Philip Thigo (Republic of Kenya), and Mr Quintin Chou-Lambert (@UN), alongside a distinguished panel of experts across philanthropy, civil society, and industry.

Two weeks since the launch of the Global South Network for Trustworthy AI at the IndiaAI Impact Summit 2026 — and we’re still energised by the response from leaders across government, industry, philanthropy, and civil society. Why does this network matter? 🧵

By unpacking these relationships, the brief highlights the opportunities that open approaches to AI can create for India’s ecosystem, particularly around innovation and participation. #OpenSourceAI

Instead of asking simply “Should AI be open?”, the matrix helps frame a more useful question: Which components should be open — and what outcomes might that enable?

A key contribution of our new policy brief on advancing open source AI in India is the Component–Outcome Matrix to unpack what “openness” in AI actually means. 🔗 digitalfutureslab.in/publications/a…

Open source AI is a strategic governance choice. This brief offers a roadmap for operationalising it responsibly. 📘 Read the full brief: 
digitalfutureslab.in/publications/a…

The structure follows these questions directly: Definitions → A practical component–outcome matrix → Opportunities → Risks & trade-offs → Actionable recommendations for policy & practice.

What does “open source AI” really mean for India — and what should we do about it?  Our new policy brief explores exactly this.
 Read here:
digitalfutureslab.in/publications/a…