Official Pre-Summit Event of the AI Impact Summit 2026
AI in the
Public Interest
Organised by Factly, supported by Meta, to democratize AI infrastructure and make public data accessible, usable, and AI-ready for all citizens.
Official Pre-Summit Event of the AI Impact Summit 2026
Organisers & Supporters
Factly is a Hyderabad-based civic-tech organisation dedicated to making public information and data more meaningful. We operate at the crossroads of public data/information, technology, and journalism.
Factly builds products that harness public data and Artificial Intelligence (AI) to empower institutions and citizens. We have built innovative products that make public data more accessible, usable, and AI-ready.
Meta's mission is to advance AI for a connected world, pushing the boundaries through research, infrastructure, and product innovation to connect people through collaborative, responsible AI innovation.
Meta's AI research, conducted by the FAIR team, aims to achieve advanced machine intelligence and innovates in the open, sharing research with the community. They focus on AI Infrastructure, Generative AI, NLP, and Computer Vision.
Committed to building AI responsibly—guided by Privacy & Security, Fairness & Inclusion, Robustness & Safety, Transparency & Control, and Accountability.
What Factly Does
Public Data
Making government and institutional data more accessible, usable, and AI-ready for citizens and researchers.
Technology
Building innovative products that harness AI to empower institutions and enable data-driven decision making.
Journalism
Operating at the intersection of data, technology, and journalism to make public information meaningful.
Civic Impact
Creating tools and frameworks that strengthen democratic participation and government transparency.
Event Objectives
This roundtable series aims to bring together diverse stakeholders—policymakers, technologists, researchers, and civil society—to deliberate on critical questions around AI infrastructure and public data.
Through structured discussions across three cities, we will develop actionable recommendations on making public data AI-ready, creating shared compute and model infrastructure, and establishing trust frameworks for citizen-centered AI access.