Our Work

Our work is spread across three projects: actionable guidance, use-case tracker, and expert insights.

Our actionable guidance project is aimed at generating actionable pathways for responsible AI adoption for regulators, administrators and business leaders. The project is guided by our actionable guidance agenda detailing our priorities, focus areas, methods, and community and external stakeholder engagement modalities for rigorous problem analysis, and considerations for effective guidance communication. The agenda has been jointly prepared by our founders, Raj Shekhar and Antara Vats, with inputs from our affiliate and citizen 4.0 networks and other external stakeholders. The project seeks to foster responsible AI adoption in the public and private sectors, with support from our affiliate and citizen 4.0 networks, board of advisors, and a host of other external collaborators and partners.

Our use-case tracker project is aimed at creating accessible, analytical, succinct, and up-to-date accounts of dominant AI-enabled use-cases across critical sectors, including reported benefits and harms arising from them, and current and emergent public and private governance frameworks for their responsible development and deployment. The project seeks to build general stakeholder literacy and awareness on AI adoption and governance practices, with support from our affiliate and citizen 4.0 networks, and board of advisors.

Our expert insights project is aimed at publishing analytical commentaries and lightning talks by technology and policy professionals and experts at the intersections of AI, ethics, and regulation. The project seeks to build stakeholder literacy and facilitate debate and discussion on AI governance issues, and guide public and private adoption of responsible AI. The project is supported by contributions from our affiliate and citizen 4.0 networks and external technology and policy professionals and experts.

We’ve also developed a learning module—“Getting started with AI governance”—for the uninitiated stakeholders to get to grips with AI governance lexicon, issues, actors, and instruments, with a view to enabling them to effectively engage with policy debates and discussions concerning responsible AI adoption. The module is quarterly reviewed and updated to account for domain developments, with contributions from our affiliate and citizen 4.0 networks, and board of advisors.