About PAI’s Guidance for Inclusive AI
Acknowledgements
Lead Author: Tina M. Park
Contributing Editors: Dalia Hashim & Aimee Bataclan
Content Contributors: PAI’s Global Task Force for Inclusive AI
The author would like to thank the following individuals for their contributions throughout the development process, from providing staff support at workshops, being early interlocutors, or providing detailed expert reviews:
- Stephanie Bell
- Kasia Chmielinski
- William Covington
- Caitlin Dally
- Rebecca Finlay
- Steven Garcia
- Anna Kawakami (External Reviewer)
- Eliza McCullough
- Lama Nachman
- Aidan Peppin (External Reviewer)
- Evani Radiya-Dixit (External Reviewer)
- Eric Sears
- Timothy Sheehan
- Penelope Sosa
- Neil Uhl
- Chris Vieulles
- Meg Young (External Reviewer)
We would also like to thank all participants at the 2024 CSCW Workshop on Practicing Inclusivity in AI, the virtual feedback sessions hosted at Google Research, and those who took the time to submit online feedback:
- Online Feedback: William Liem, Marc Sasinski, Morgan Klaus Scheuerman, Mohammad Tahaei, Phil Wood
- 2024 CSCW Workshop: Szeyi Chan, Amy Chen, Aakash Gautam, Zoe Kahn, Vaishnav Kameswaran, Isaac McCoy, Klaus Mueller, Priya Sarkar, Aditi Surana, Chiara Ullstein, Fallon Wilson, PhD, Yubin
- Google Research Workshops: Sydney Hessel, Nitzan Ishai, Michael Madaio, Héctor Pérez-Urbina, Vinodkumar Prabhakaran, Kevin Robinson, James Wexler
Please note this list does not include all participants due to their preference to remain unnamed.
The Global Task Force for Inclusive AI
PAI Staff Lead: Tina M. Park (Head of Inclusive Research & Design)
PAI Staff Contributors: Dalia Hashim (Program & Research Lead) and Jiyoo Chang (Former Program & Research Lead)
Global Task Force Members (Title and Organizational Affiliation Provided for Identification Purposes):
- Adriana Alvarado Garcia (Staff Research Scientist, IBM Research)
- Juanis Becerra Sandoval (Research Scientist, IBM Research)
- Anna Colom (Senior Policy Lead, Data Tank)
- Bill Curtis-Davidson (Former Director, Partnership on Employment & Accessible Technology (PEAT))
- Remi Denton (Staff Research Scientist, Google Research)
- Lara Groves (Senior Researcher, Ada Lovelace Institute)
- Louise Hickman (Senior Research Associate, Minderoo Centre)
- Jerremy Holland (Director of AI Research, Apple)
- Ken Holstein (Assistant Professor, Carnegie Mellon University)
- Tamara Kneese (Director of Climate, Technology and Justice, Data & Society)
- Keoni Mahelona (Chief Technology Officer, Te Hiku Media)
- Jacob Metcalf (Program Director of AI on the Ground Initiative, Data & Society)
- Emanuel Moss (Sociotechnical Systems Researcher, Intel Labs)
- Wilneida Negrón (Director of Policy and Research, Coworker.org)
- Seeta Peña Gangadharan (Associate Professor, London School of Economics)
- Afsaneh Rigot (Founder and Principal Researcher, The De|Center)
- Stephen Rockwell (Founder, HumanServices.AI)
- Lauren Wilcox (Director of Responsible AI, eBay)
More Details About This Resource & The Global Task Force
Partnership on AI’s Global Task Force for Inclusive AI was convened in 2023 to address the challenges of conducting meaningful public engagement as a part of AI development and deployment. As the technology gap continues to grow — from who has access to these digital tools and benefits to who is free from algorithmically-driven harm — the involvement of users, consumers, workers, and the general public is necessary for responsible AI development. This initiative builds on the work of researchers, civil society advocates, and champions from within tech companies who have studied and established resources to help AI practitioners understand the role of public engagement practices in the development of AI systems and features. The aim of the Global Task Force for Inclusive AI was to translate the existing research and resources into actionable practices that can be adopted by AI developing teams and organizations more readily.
Global Task Force members were chosen for their extensive experience in participatory engagement within corporate/business settings. They include practitioners who develop procedures for AI companies and researchers or advocates who help amplify community voices in AI development. In the interest of creating recommendations based on previously attempted practices in corporate settings, individuals who were part of newly formed responsible AI or participatory engagement teams were not included.
All Task Force members work professionally in the field of AI and digital technology. This means that unlike many of the people who are targeted for public engagement, they are recognized as leading experts by technology companies and have the privilege of being able to dedicate themselves and their time to these topics while being compensated above a living wage. However, care was taken to select individuals who work closely with impacted communities. The majority of the Task Force Members individually identify as members of socially marginalized groups (e.g., sociopolitically marginalized due to ethnicity, race, gender, sexual orientation, or disability), and their work is conducted in active partnership with their communities.
How the Guidance for Inclusive AI was produced
As a first step, the Global Task Force applied its combined decades of experience with technology development, community engagement and advocacy, and community-based research to draft a set of guidelines and guardrails to support mutually beneficial interactions between technology companies and socially marginalized communities. Task Force Members bring in both lived experience and learned expertise on: colonialism, gender expression, immigration status/nationality, indigeneity, language (non-English), religion, rural access, socioeconomic class, sociotechnical issues, and technical development. The draft was released for public comment, and the team at PAI sought out additional input from other experts, practitioners, and other interested individuals to provide feedback. The culmination of that work is this resource.
Financial Disclosures
This initiative was funded in its entirety by Partnership on AI, including staff time, honoraria for qualifying Global Task Force members, and travel/event support for in-person working sessions. The MacArthur Foundation generously hosted the venue and on-site meals for an in-person working session for the Global Task Force members. Google provided travel support for PAI staff and Global Task Force members to host the 2024 CSCW Workshop.
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