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The GPAI Future of Work (FoW) Working Group’s mandate and scope are to:

• Conduct critical technical analysis on how the deployment of AI can affect workers and working environments as well as how workers and employers can better design the future of work.
• Address how AI can be used in the workplace to empower workers, how employers and workers can prepare for the future of work, and how job quality, inclusiveness, and health & safety can be preserved or even improved.
• Include a focus on the education and training needed to prepare the future workforce.

The Working Group on the Future of Work pursued the following projects in 2022:

• Observation platform of AI at the workplace
• AI for fair work
• XAI  for Education
• CAST – Design Framework for AI Based Solutions

2023

  Future of Work Working Group Report (November 2023)

The Future of Work Expert Working Group (FoW EWG) examines the impact of AI on the workforce and its working environments. Its projects explore how inclusivity can be advanced in the face of automation while encouraging healthy collaboration with AI to ensure productivity and quality of outputs. In 2023, it concentrated its efforts on generative AI due to the uncertainty it brings to the job security of many workers. This report outlines its work on AI in the workplace to ensure that it empowers workers as well as consumers. 

  AI Observation Platform Report (November 2023)

Since its inauguration in 2021, this project aims to improve the future of those working alongside AI, with a particular focus on variables including disability, gender, and ethnicity. Through gathering use cases across several sectors, GPAI Experts capture shifts AI is causing in the workplace and gain insights into how it can be used to empower workers. This year, it was extended to include case studies from Japan and Mexico’s student communities, as well as LaborIA, France’s centre for the impact of AI on work, as outlined in this report.

  AI for Fair Work: From principles to practices (November 2023)

In partnership with Fairwork, an initiative of the Oxford Internet Institute, this project has re-assessed the OECD AI principles with a stronger emphasis on pay, working conditions, management, and representation. In applying them to two working environments (Amazon in the UK, and Sama, a data annotation firm in Kenya and Uganda), it has gathered empirical evidence of their practical use, which will be published in 2024. This report explores the methodology behind the project and highlights the multifaceted approach that must be taken to improving work in the face of AI. 

  CAST Constructive Approach to Smart Technologies (November 2023)

The growth of AI systems in terms of impact and complexity is making it increasingly challenging to draft frameworks that harness their potential for innovation while keeping up with their constant evolution. For AI vendors making the transition to the international market, it can be difficult to adapt to foreign demands. The CAST project proposes a model to accommodate software systems to such a fast-paced environment and navigate the nuances of constantly evolving levels of AI.

  Policy Brief: Generative AI, Jobs, and Policy Response (Montreal Innovation Workshop, September 2023)

2022

Future of Work Working Group Report (November 2022)

AI Living Lab Report (November 2022)

AI Observation Platform Report (November 2022)

AI for Fair Work Report (November 2022)

2021

 Future of Work Working Group Report (November 2021)

 AI Observatory at the Workplace (November 2021)

2020

Future of Work Working Group Report (November 2020)

Group contact point: GPAI Paris Centre of Expertise

Group participants

• U.B. Desai, Indian Institute of Technology Hyderabad (co-chair)
• Matthias Peissner, Fraunhofer IAO (co-chair)
• Janine Berg, International Labour Organization (Switzerland)
• Nicolas Blanc, CFE CGC National Digital Delegate (France)
• Manuel Cebrián, Max Planck Research Group (Spain)
• Arisa Ema, University of Tokyo, RIKEN Center for Advanced Intelligence Project (Japan)
• Yann Ferguson, The Toulouse Institute of Technology (France)
• Jenny Grensman, Sveriges ingenjörer/The Swedish Association of Graduate Engineers (Sweden)
• Yuko Harayama, RIKEN (Japan)
• Rina Joosten, Seedlink Technologies (Netherlands)
• Bogumił Kamiński, Warsaw School of Economics (Poland)
• Palmer Luckey, Anduril Industries and Oculus VR (United States)
• Johan Moesgaard Andersen, Danish Metal-Workers Union (Denmark)
• King-Wang Poon, Lee Kuan Yew Centre for Innovative Cities at Singapore University of Technology and Design (Singapore)
• Saiph Savage, Northeastern University’s Khoury College of Computer Sciences; Northeastern Civic A.I. Lab. (Mexico)
• Basheerhamad Shadrach, CEMCA; Commonwealth of Learning (India)
• Alexandre Shee, SAMA (Canada)
• Márcio da Silva Arantes, SENAI (Brazil)
• Borys Stokalski, VersaBox and RETHINK (Poland)
• Risto Uuk, Future of Life Institute (Estonia)
• Lucía Velasco, School of Transnational Governance. European University Institute (EUI) (Spain)
• Kyoko Yoshinaga, Institute for Technology Law & Policy, Georgetown University Law Center (Japan)

Observer

• Stijn Broecke, OECD

Specialists

• Callum Cant, Oxford Internet Institute (United Kingdom)
• Sumohana Channappayya, Indian Institute of Technology Hyderabad (India)
• Matthew Cole, Oxford Internet Institute (United Kingdom)
• Masayo Fujimoto, Faculty of Sociology, Doshisha University; Research Center for Work Styles, Science and Technology (Japan)
• Rieko Ikeda, Doshisha University (Japan)
• Deepak John Mathew, Indian Institute of Technology Hyderabad (India)
• Takashi Matsumoto, Research Center for Future Vision, The University of Tokyo (Japan)
• Aleksandra Przegalińska, Kozminski University (Poland)