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

Description

Different types of AI systems raise very different policy opportunities and challenges. As part of the AI-WIPS project, the OECD’s Committee on Digital Economy Policy’s Network of Experts on AI developed a user-friendly framework to classify AI systems. The framework provides a structure for assessing and classifying AI systems according to their impact on public policy in areas covered by the OECD AI Principles. This session will discuss the four dimensions of the draft OECD AI Systems Classification Framework, illustrate the usefulness of the framework using concrete AI systems as examples, and seek feedback and comments to support finalisation of the framework. Q&A will follow the discussion among panellists. In the session, a classification framework to understand the labour market impact will also be introduced.

The OECD Al Systems Classification Framework: progress, challenges and way forward

Feb 2nd, 02:00 pm - 03:30 pm

Presented by

Agence Française de Développement (AFD)

Head of DataLab and Senior Data Scientist

Policy Director

University of Canterbury

Lecturer, School of Law

Emilia Gomez Gutiérrez

European Commission DG Joint Research Centre (JRC)

Lead Scientist, Human behaviour and machine intelligence

Marko Grobelnik

Josef Stefan Institute

AI Researcher & Digital Champion

Marguerita Lane

Georgetown University

Director of Data Science

Economist/Policy Analyst

John Cabot University

Assistant Professor of Applied Data Analytics, Department of Business Administration

Suggested Sessions

8:00 am - 8:10 am

Interview with Karin Kimbrough

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

Karin Kimbrough

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