Practice Playbook on Responsible AI
Credits: Kyra Pereira
Book
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Apr 2025

Practice Playbook on Responsible AI

Sasha John /Shreeja Sen /Anushka Jain /Urvashi Aneja /Aarushi Gupta /Sara Chamberlain

India’s 3.1M+ social impact organisations are already informing how AI can be used for education, health, and public service delivery, often in high-stakes, low-resource environments.

But as AI adoption rises, so do the risks.

  • Gender and digital divides
  • Biased or hallucinated outputs
  • Lack of context-specific safeguards

As AI adoption in India expands across key social sectors, policy discussions on its governance have gained momentum. Most recently, a multistakeholder body under the Ministry of Electronics and Information Technology (MeitY) recommended a “whole-of-government” approach to AI governance aimed at mitigating AI harms and promoting Responsible AI (RAI).

While RAI frameworks are helpful as overarching guidelines, translating these principles into practical, context-specific actions remains a significant challenge for most organisations. They can often be context-agnostic and, hence, unable to respond to needs and challenges unique to the resource-constrained environments where social impact organisations operate.

To fill this gap, Digital Futures Lab has developed the ‘Practice Playbook on Responsible AI’.

The Playbook is designed to serve as a resource, offering 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.

Drawing on insights from the inaugural cohort of DFL's Responsible AI Fellowship, the Playbook is a collaborative effort. In this pioneering initiative, 14 social impact organisations joined forces with a diverse group of mentors who delivered thematic lectures and provided personalised guidance. The Playbook also integrates established scholarship on Responsible AI, weaving together proven frameworks and concrete examples of real-world implementation.

Read now.