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Partnership on AI Launches Expert Advisory Group for New Initiative: Shaping Economic Futures in the AI Era

PAI Staff

Partnership on AI today launched its Labor and Economy Steering Committee, a new expert advisory group of labor, civil society, and industry leaders alongside academic experts. The group will support a new PAI initiative, Shaping Economic Futures in the AI Era, which will develop recommended actions that stakeholders and policymakers should take to increase the likelihood of positive economic outcomes.

“The decisions we make now define our economic future. The diverse perspectives of the impressive members of PAI’s Labor and Economy Steering Committee will be key to shaping solutions. I look forward to collaborating with them to build a future with shared prosperity for workers and communities,” said Rebecca Finlay, CEO, Partnership on AI.

The inaugural members of PAI’s Labor and Economy Steering Committee are:

  • Anton Korinek, Professor of Economics, University of Virginia
  • Arturo Franco, Director, Group Strategy Office, World Bank Group
  • Bianca R. Agustin, Co-Executive Director, United for Respect/Education Fund
  • Christy Hoffman, General Secretary, UNI Global Union
  • Daaiyah Bilal-Threats, Senior Director for Policy, National Education Association
  • Dani Rodrik, Professor, Harvard University
  • DeRionne Pollard, President and CEO, American Association of Community Colleges
  • Dr. Emmanuel Owusu-Sekyere, Director of Research, Policy and Programs, African Center for Economic Transformation
  • Heidi Shierholz, President, Economic Policy Institute
  • Jenny Lay-Flurrie, Head of Trusted Technology Group and Vice President, Microsoft
  • Kunal Sen, Director, United Nations University World Institute for Development Economics Research, and Professor, Global Development Institute, University of Manchester
  • Lauren McFerran, Executive Director, AFL-CIO Tech Institute
  • Matthew D. Chase, CEO/Executive Director, National Association of Counties
  • Michael Atleson, Of Counsel, DLA Piper
  • Peter McCrory, Head of Economics, Anthropic
  • Pria Chetty, Executive Director, Research ICT Africa
  • Robert Opp, Chief Digital Officer & Director, Digital, AI and Innovation Hub, United Nations Development Programme Chief
  • Ronnie Chatterji, Chief Economist, OpenAI
  • William Isaac, Principal Scientist, Google DeepMind

The project will develop recommendations by leveraging AI and labor market scenario analysis developed by the Windfall Trust, in collaboration with PAI.

“By working with our Steering Committee, PAI can help ensure that workers steer the development of AI towards a future in which AI innovations help increase incomes and reduce inequality worldwide,” said Michael George, Head of AI, Labor and the Economy, Partnership on AI. “With the advice of our Steering Committee, we will create tools that labor, civil society, industry, and policymakers can use to separate signal from noise and prioritize actions they need to take today.”

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About the Partnership on AI’s Labor & the Economy Program

Since its founding in 2016, PAI has been at the forefront of helping diverse stakeholder groups understand how AI might impact workers and the economy, and how companies and workers can steer technology to benefit society. Past PAI work includes our September 2022 international study drawing on interviews with frontline workers in India and Sub-Saharan Africa, which was cited in OpenAI’s GPT-4 system card, as well as our data enrichment sourcing practices, which were followed in the development of Google DeepMind’s Gemini 1.0 and cited in its technical report.

In 2023, PAI released a first-of-its-kind AI job impact assessment and recommendations for the field with its Guidelines for AI and Shared Prosperity — developed by the multistakeholder AI and Shared Prosperity Steering Committee (2020-2023) and used as a north star by the U.S. Department of Labor in 2024 in their recommended principles and best practices to advance equity, develop opportunity and improve job quality. Since then, uncertainty about the potential path of technological development has grown – including the timeline and distribution of potential benefits or harms. Planning is required to take account of uncertainty, the potential for near-term benefits and harms, and the adoption and diffusion of new technologies.

PAI’s Shaping Economic Futures in the AI Era initiative is generously supported by the Heising-Simons Foundation.

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