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.
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.
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
- AI, power, relationships, and values
You can also read our first blog that kicks off this work.
The power of narratives
How can we ensure that mainstream narratives concerning AI build literacy, balance potential risks and rewards, and foster genuine public engagement? What can be done to address the power imbalance on who controls these narratives?
Yasmin Ibison reflects and reacts to the essays of 4 exciting and creative writers who are exploring the impacts of mainstream narratives on AI, the stories they tell and the voices they do and don’t include.