In May 2019, the OECD adopted the OECD AI Principles - the first international standards agreed by governments for the responsible stewardship of trustworthy AI. These principles seek to foster public trust and confidence in AI technologies and realise their potential, through promoting principles such as inclusiveness, human-centricity, transparency, robustness and accountability. The principles were subsequently welcomed by G20 Leaders.
Through its research programme on AI in Work, Innovation, Productivity and Skills, the OECD is working with governments, businesses and workers around the world to try to measure and analyse the impact of AI on training needs and labour markets, and to help shape a human-centric approach to trustworthy AI.
As part of this programme of work, the OECD is conducting firm-level case studies to understand what happens when a specific AI-based technology is implemented in a workplace from the perspectives of those most impacted by the changes. The case studies will help in identifying good practice as well as barriers to the adoption of innovative, work-enhancing and trustworthy AI in the workplace.
To begin with, the case studies will focus on firms within two sectors – manufacturing and finance – and across eight countries: Austria, Canada, France, Germany, Ireland, Japan, the United Kingdom and the United States. Findings from the case studies will be published in a report in mid-2022 and presented at the AI-WIPS conference in late 2022 (or early 2023).
The OECD recognises the importance of understanding country context and has engaged researchers who are familiar with workplaces and labour market policies and institutions in the countries where case studies are taking place. The OECD is partnering with established institutions to conduct the case studies in each of the countries mentioned. The teams are:
Austria: KMU Forschung Austria
France: ESSEC Business School
Ireland: Ireland's Centre for Applied AI
United Kingdom: Digital Futures at Work Research Centre (Digit)
If you would like to know more about the research or ask us any questions, please contact Anna Milanez, Labour Market Economist at the OECD (email@example.com).