International conference on AI in Work, Innovation, Productivity and Skills

Description

Dr. Kimbrough, Chief Economist at LinkedIn, explains how big data can be used to provide new insights into changing skills needs, and what skills young people should invest in if AI become a widely-used technology in the labour market. References: https://economicgraph.linkedin.com/research/ai-talent-in-the-eu https://economicgraph.linkedin.com/blog/how-artificial-intelligence-is-already-impacting-todays-jobs

Interview with Karin Kimbrough

Feb 1st, 08:00 am - 08:10 am

Presented by

Karin Kimbrough

Chief Economist

Suggested Sessions

8:00 am - 8:30 am

Interview with Isamu Yamamoto

Prof. Yamamoto shares findings from a survey he has carried out on the impact of AI in the workplace in Japan, and what it means for different skills groups. References: o https://www.jst.go.jp/ristex/hite/en/community/project000398.html o https://voxeu.org/article/impact-ai-and-information-technologies-worker-stress

Keio University

8:00 am - 8:10 am

TEST YOUR ACCESS TO THE CONFERENCE

2:00 pm - 2:45 pm

AI in our Futures: Stakeholder perspectives

As artificial intelligence reshapes our futures, what do OECD’s stakeholders consider to be the opportunities and challenges for work, innovation, productivity and skills? In this roundtable session, representatives from business (Business at OECD), labour (TUAC), civil society (CSISAC) and the technical community (ITAC) will share their views and offer insights from their communities on the evidence gaps and policy priorities where the OECD can advance the debate.

Anna Byhovskaya

Trade union Advisory Committee to the OECD (TUAC)

Business at OECD

Center for AI and Digital Policy

Stefano Scarpetta

Andreas Schleicher

Andrew W. Wyckoff

8:00 am - 8:15 am

Interview with Gina Neff

Prof. Neff discusses some of the risks for workers when AI is adopted by companies, her concerns around AI-based tracking technologies, and the value that society places on the “data work” that goes into building AI. References: o 2020 Moller et al - Who does the work of data: https://cdn-assets.inwink.com/17bd3757-8f15-45ee-821d-3ea342e93975/ba99625e-527b-4d19-b710-6302f36f1860 o 2020 Neff et al AI at Work:...

University of Oxford