AI is reshaping our lives and society.
From the use of decisions to healthcare diagnosis and how media is consumed, we have already witnessed how data-driven technologies address social inequality, as well as how it gets worse. Without the voices of those who were most affected by its development and deployment, we risk deepening the very divisions we want to close.
However, despite being responsible for the general approach of attracting wider and diverse communities from AI into AI’s decision-making process and increasing demand from responsible AI, product teams struggle to move from theory to practice when attracting marginalized communities. As AI grows in its impact, it is more important than ever for those and organizations developing and deploying AI-driven systems to work in close partnerships with those affected by it. From companies whose core businesses are developing AI systems to organisations that improve their digital products to adapt their AI tools, everyone can ensure that AI is developed and deployed more comprehensively.
This framework helps AI develop and deploy teams that navigate engagement with clients, users, and ultimately with teams affected by the AI system. PAI Guidance for Inclusive AI: Participatory Engagement Practices provide curated resources for commercial sector practitioners and leaders.
PAI’s guidance for comprehensive AI provides curated resources for commercial sector practitioners and leaders. Choose the role and level of experience that best suits your needs.
