Citizen Digital Foundation

Responsible

AI

CDF AI governance assessment

A comprehensive self-assessment tool to assess your organisation’s AI governance readiness from planning to deployment. Based on 7 global AI governance frameworks and resources.

The Practice Playbook on Responsible AI

The Playbook is designed to offer organisations detailed, step-by-step recommendations for designing and deploying AI interventions for social impact. It is carefully tailored to the unique challenges faced by social impact organisations in India, taking into account both their operational constraints and the diverse contexts in which they work.

WOMEN IN AI ETHICS™ Reading Circle Resource Guide – AI & Mental Health

A report with a curated list of research papers and articles offering a balanced perspective on the benefits and risks of AI usage in mental health.

From code to consequence: Interrogating gender biases in LLMs within the Indian context – Digital Futures Lab

Research document critically examining gender biases in Large Language Models (LLMs) within India’s socio-cultural context, analyzing their origins, manifestations, and societal impacts.

Readiness assessment methodology- UNESCO

A tool designed to help countries evaluate their preparedness across legal, social, economic, educational, and technical dimensions to ethically implement AI in alignment with global standards.

Google – Perspectives on issues in AI governance

This resource explores the need for governments, civil society, and AI practitioners to collaborate on developing clear guidelines for AI governance.

Germany federal office for information security – Generative AI guidelines

This resource discusses generative AI models, highlighting their potential opportunities and associated risks for both industry and authorities.

KPMG governing AI responsibly

This AI Governance resource highlights the transformative potential and associated risks of generative AI, emphasising the need for robust governance frameworks.

NIST Risk Management Framework (RMF) playbook

This playbook includes actions, references, and related guidance to achieve the outcomes for the four functions in the  AI Risk Management Framework (AI RMF): Govern, Map, Measure, and Manage. 

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