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webCredibility Rating
3/5
Good(3)Good quality. Reputable source with community review or editorial standards, but less rigorous than peer-reviewed venues.
Rating inherited from publication venue: Partnership on AI
Partnership on AI is a prominent multi-stakeholder nonprofit; its research page indexes policy and governance-focused reports relevant to AI safety practitioners and policymakers, though content varies in technical depth.
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Importance: 45/100homepage
Summary
The Partnership on AI (PAI) research publications page aggregates policy-oriented research, reports, and frameworks produced by a multi-stakeholder nonprofit focused on responsible AI development. The organization brings together academics, civil society, and industry to address AI governance challenges including safety, fairness, and accountability.
Key Points
- •PAI produces cross-sector research bridging technical AI safety concerns with policy and governance recommendations
- •Publications cover topics including responsible AI deployment, worker impacts, synthetic media, and safety best practices
- •Reflects multi-stakeholder perspectives from industry, academia, and civil society on AI governance
- •Serves as a resource hub for policymakers and researchers navigating AI accountability frameworks
- •Emphasizes coordination and international cooperation in developing norms for responsible AI
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| AI Governance Coordination Technologies | Approach | 91.0 |
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# Researching Diversity, Equity, and Inclusion in the Field of AI
### Researching Diversity, Equity, and Inclusion in the Field of AI
PAI Staff
July 20, 2020
![$hero_image['alt']](https://partnershiponai.org/wp-content/uploads/2020/07/DEI.png)
Diversity, Equity, and Inclusion (DE&I) is an area where there have been growing calls for action and significant investments made, but still a lack of clarity around what kinds of initiatives work best. Companies are investing significant time and money in diversity & inclusion recruitment activities yet limited research exists on what happens to women and minorities after they enter technical professions. In particular, there is a lack of research into factors that affect the sense of belonging and attrition of women and minorities from AI teams specifically. Moreover, while many AI organizations have launched diversity, equity & inclusion initiatives to improve their organizational culture, there is limited research centralizing the learnings from these initiatives in terms of how well different approaches have worked in practice.
At last year’s All Partners Meeting with DeepMind, [we announced our commitment](https://partnershiponai.org/why-were-creating-a-dedicated-research-fellowship-to-advance-diversity-and-inclusion-in-ai/) to investigate pervasive challenges in ethnic, gender, and cultural diversity in the field of artificial intelligence. Today, we are making progress in this mission with the hire of Jeffrey Brown as our Diversity and Inclusion Fellow. Jeffrey’s work will complement our plans in Fairness, Transparency, and Accountability (FTA) by researching how we can increase diversity and inclusion on the teams behind the development of algorithmic systems. His research will use a mixed methods approach to gather qualitative and quantitative data about the cultural factors affecting inclusivity across different AI-related teams across industry, civil society organizations, nonprofits, and academia.
Jeffrey Brown has been an Assistant Professor of Psychology at Minnesota State University, Mankato. He has led both intramural and extramural grant-funded research projects focusing on mental health in Black children and families, and discrimination among LGBTQ+ individuals and people of color. Jeffrey has published several peer-reviewed articles within developmental and school psychology. He has presented at top international conferences in his field such as that of the American Psychological Association, the Society for Research in Child Development, American Educational Research Association, and the National Association of School Psychologists. Jeffrey received a Ph.D. in school psychology from Tulane University and a B.A. in psychology from Yale University.
“I’m very excited to join the Partnership on AI (PAI), an organization whose
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