Skip to main content
Animation of people going up or down escalators with binary code in the back ground

AI for public good

JRF is looking at the potential for AI to generate public good. We'll be platforming some inspiring thinkers while positioning ourselves as an inquisitive explorer of this topic. 

Our mission

We’re exploring the potential for AI to be a force for public good and an instrument in the work we do to transition to a poverty-free future. We're not trying to push one specific viewpoint or propose specific policies. Instead, we want to start conversations and connect people from different fields to contribute to the ongoing discussions about AI.

In this work we aim to:

  • make cross-sector connections to build on the current discourse, and bring in the opinions of people who aren’t always included in conversations around tech
  • create and commission content that explores, interrogates, and builds new ideas
  • examine ideas about how to develop and use AI for the public sector and civil society - using AI for ‘public good’
  • challenge assumptions and raise questions about moral and ethical limitations of AI and the risk of exploitation.

Our goal is to look not only at the practical implications of AI on the social sector, but also to think about power dynamics, relationships and the values AI promotes. We’ll do this as open, inquisitive and humble explorers of both the potential and the shortcomings of AI in the public sphere.

Exploring AI

There will be 4 initial focus areas for our AI work. We’ll be commissioning content that explores these areas from different perspectives and sharing our key learnings from these reflections and ideas.

The 4 focus areas are AI narratives; AI in the public sector; AI and civil society and AI, power, relationships, and values.

Illustration depicting people sat in a waiting room engaging with various pieces of technology

AI in the public sector

We asked several experts the question: 'To what extent can AI improve public policy-making?' Authors have written a range of reflections - from the cautiously optimistic, to the fiercely critical.

In Dan MacQuillan's essay he argues that while AI may appear to offer benefits to public policymaking, it can't address the tricky structural issues that impede actual change, and will only amplify injustices.

Whereas Imogen Parker's essay asks if we can find a middle path between the idealised potential, and messy reality, of government using AI to shape public policymaking?