AI is reshaping our lives and society.
From its use for hiring decisions to healthcare diagnoses to how we consume media, we are already witnessing how data-driven technologies can help us address social inequality, but also how it can worsen it. Without the voices of those most affected in its development and deployment, we risk deepening the very divides we hope to close.
Yet, despite growing demand from the public and responsible AI advocates for approaches that draw in broader, more diverse communities to the AI decision-making process, product teams often struggle to move from theory to practice when engaging socially marginalized communities. As AI’s influence grows, it is more important than ever for the people and organizations who develop and deploy AI-driven systems to work in close partnership with those who are impacted by it. Everyone, from companies whose core business is developing AI systems to organizations adapting AI tools to improve their digital products, can ensure AI is developed and deployed more inclusively.
This framework supports AI developing and deploying teams navigating engagements with their clients, users, and those ultimately impacted by their AI systems in a manner that engenders trust and meets the needs of those most excluded. PAI’s Guidance for Inclusive AI: Practicing Participatory Engagement offers curated resources for practitioners and leaders in the commercial sector.
PAI’s Guidance for Inclusive AI offers curated resources for practitioners and leaders in the commercial sector. Please select the role and level of experience most aligned with your needs.
