Through close collaborations and the dissemination of usable guidance, PAI positively impacted industry practices in 2022. To improve the conditions of data enrichment workers, PAI worked with DeepMind to develop and implement better sourcing practices. When Meta wanted to share a new large language model, their researchers turned to PAI‘s recommendations on responsible publication norms, citing them as a key source of guidance. And with our ABOUT ML Pilots, PAI helped the UN’s Office for the Coordination of Humanitarian Affairs and a pharmacovigilance firm discover new opportunities for operationalizing transparency through documentation.
 

Responsible Sourcing Practices at DeepMind

Last year, PAI collaborated with DeepMind to refine and implement our recommendations for sourcing enriched data responsibly. The result was both improved practices at DeepMind and a new, practitioner-tested library of tools to improve the wellbeing of data enrichment workers.

Collaboratively developing and sharing best practices is essential to advancing the AI field. In service of this, PAI provided needed guidance in 2022 for those who seek to develop and deploy AI responsibly. Last year, we released new tools for AI organizations sourcing enriched data and local newsrooms that want to adopt AI. We also offered actionable recommendations for how AI companies can make the field more inclusive, how AI conferences can foster a responsible research culture, how AI developers can engage stakeholders responsibly, and how we can all improve the impact of workplace AI.

Guidance for Improving Diversity

Last year, PAI published four recommendations for how organizations can make their AI teams more inclusive, attract and retain talent, and make good on their commitments to diversity. Drawn from in-depth interviews with minoritized AI workers and others, this guidance was designed to be ready for implementation and effective in practice.

PAI shared our insights with a variety of media organizations and government agencies in 2022, informing stakeholders outside the AI community about this important technology. Last year, our work was cited by the FTC, Nature Machine Intelligence, and in the Blueprint for an AI Bill of Rights. PAI CEO Rebecca Finlay’s commentary was quoted by The White House, Fortune, Protocol, and others. PAI staffers were panelists or speakers at 38 different events around the globe, including OECD’s Digital Economy Ministerial. And after speaking on an FTC panel introduced by agency chair Lina Khan, PAI submitted a response to the FTC’s proposed rulemaking on commercial surveillance and data security practices.
 

PAI and the AI Bill of Rights

In its Blueprint for an AI Bill of Rights, the White House’s Office of Science and Technology Policy (OSTP) pointed to PAI’s ABOUT ML initiative as an example of how tech companies can operationalize transparency about AI systems. PAI contributed further expertise by meeting with the OSTP and attending its AI Bill of Rights launch event.

Through workshops, Partner events, and other convenings, PAI brought together voices from around the world to identify and address emergent challenges in AI. At our Quarterly Program and Steering Committee meetings, our Partners came together to identify new opportunities for improving AI practices. At workshops on ethical review practices for AI conferences, the governance of sensitive demographic data, and how to evaluate explainable AI tools, attendees shared fresh insights with our researchers. And through public comment, multiple convenings, and more than 25 individual stakeholder sessions, diverse voices helped shape PAI’s framework on responsible practices for synthetic media.
 

PAI and Partners in Nature Machine Intelligence

In collaboration with representatives of PAI Partners and others, PAI staff published an article in Nature Machine Intelligence advocating for coordinated support of ethics review processes in AI research. Nature Machine Intelligence’s editors later cited this article while calling for greater community discussion and consensus around publication norms.