GlobalPolicy.AI: a platform for policy makers to access 8 IGO’s work on artificial intelligence–
GlobalPolicy.AI is a tool for policymakers and the wider public to navigate the international AI governance landscape. It provides access to the necessary tools and information, such as projects, research and reports to promote trustworthy and responsible AI that is aligned with human rights at the global, national and local level.
OECD.AI live data about AI jobs and skills and more–
The OECD Al Systems Classification Framework–
The OECD’s Network of Experts on AI developed a user-friendly framework to classify AI systems. It provides a structure for assessing and classifying AI systems according to their impact on public policy following the OECD AI Principles. This session discusses the four dimensions of the draft OECD AI Systems Classification Framework, illustrates the usefulness of the framework using concrete AI systems as examples, and seeks feedback and comments to support finalisation of the framework. Aclassification framework to understand the labour market impact will also be introduced.
Which (set of) skills to work with AI?–
This session will discuss emerging evidence on the human capital needed to work with AI and, in particular, on the (set of) skills and competences characterising AI-related jobs, shedding light on the occupations and sectors demanding the cognitive and socio-emotional skills required to work with AI.
Ethics of AI in the workplace–
What are the main ethical issues raised by the use of AI in the workplace? What tools can be used to make sure that humans are put first – and human centred values respected – when AI is used in the workplace? What safeguards should be considered to ensure transparency, explainability, safety and accountability? This are some of the questions that panellists will be called to discuss. The panel discussion will be followed by Q&A.
Conversation with Liz Reynolds–
Stefano Scarpetta, Director for Employment, Labour and Social Affairs at the OECD, will be speaking to Elisabeth Reynolds, Executive Director of the MIT Task Force on the Work of the Future, about her recent report “The Work of the Future: Building Better Jobs in an Age of Intelligent Machines” and how she sees the impact of AI play out in the labour market.
Exploring assessments of AI capabilities–
This session will discuss the approach of the OECD’s Future of Skills project to assessing AI capabilities and discuss examples of alternative tests available from education, occupational certification, cognitive psychology, and animal cognition.
Conversation with Kenneth D. Forbus–
This keynote by Kenneth D. Forbus, Northwestern University, moderated by OECD Director for Education and Skills, Andreas Schleicher, will present an innovative analysis on the key ways AI capabilities currently fall short of human capabilities and describe the current work in AI that addresses those limitations.
Using AI in training–
Technologies and tools using AI have the potential to change how people learn by helping to identify training needs, tailor training content, deliver training in innovative ways, and assess learning outcomes. However, the use of AI for training may also suffer from important drawbacks, notably the fact that the cost and complexity of AI technologies could limit access to a selected few. In this session, panellists will discuss how AI can be used for education and training purposes, and explore opportunities and challenges in this context.
Human-machine collaborations: the role of AI–
This session will discuss experimental approaches aimed at assessing the possibility for humans and machines to work side by side, and to identify those instances in which automation and AI may make workers redundant. The discussion will be informed by novel evidence on labour-substituting technologies that have been appearing on the market over the last 30 years, with a special focus on those commercialised over the last few years. As these technologies are sold on global markets they can directly or indirectly (through global value chains and input substitution) lead to some tasks (and possible occupations) becoming redundant. The discussion will also focus on how humans and machines can work side by side, and how technologies may become labour augmenting.
AI diffusion in firms: what do we know and what does it mean for policy?–
New and emerging applications of AI systems are proliferating, yet development, diffusion and use of AI technologies are still at a relatively early level of maturity across many countries and firms. This session aims to explore the current understanding and knowledge gaps on the dynamics and drivers of AI diffusion, the factors affecting diffusion and the type of AI used by firms. This will inform the development and implementation of a survey of AI use by business being carried out under the AI-WIPS project.
Conversation with Diane Coyle–
In this session, the University of Cambridge’s Bennett Professor of Public Policy, Diane Coyle, will speak with OECD Director of Science, Technology and Innovation, Andrew Wyckoff, about her views on AI and productivity, the technology’s impacts on digital markets and competition, and the potential implications of AI’s diffusion for achieving social objectives.
Developing and applying AI: Core and non-core AI–
AI technologies are still in their relative infancy but already promise to have a strong effect on production and, consequently, jobs. To help understand the state of the art and the directions AI will take, this session will discuss how to distinguish core versus non-core (i.e. applications) AI-related developments. It will further discuss experimental evidence based on web-reading at scale about the economic agents (i.e. firms, universities, etc.) that are active in the AI space, as well as research using trademark data to shed light on firms developing and positioning AI-related goods and services in the marketplace. Panellists will discuss ongoing approaches and help explore ways forward to deepen our understanding.
The OECD Al Systems Classification Framework: progress, challenges and way forward
The OECD Al Systems Classification Framework: progress, challenges and way forward
Feb 2nd, 03:00 pm – 04:30 pm
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.
Conversation with David Autor–
Stefano Scarpetta, Director for Employment, Labour and Social Affairs at the OECD, will be speaking to David Autor, Ford Professor and Associate Head at the MIT Department of Economics, about the history and future of workplace automation. What do we know? And where are the gaps in the evidence if we want to build evidence-based policy?
Data highlight: Using live data on Al jobs and skills–
As AI diffusion and adoption evolve apace, timely data on AI jobs and skills can help inform policy. The OECD will launch a set of new indicators and interactive visualisations showing demand for AI jobs and skills by country, AI skills penetration and migration, women in AI R&D, AI software development skills and more. This session will feature a short demonstration of new interactive datasets available on the OECD’s AI Policy Observatory (OECD.AI), followed by an exchange with OECD.AI data partners.
The impact of Al on the labour market–
What do we know about the impact of AI on the labour market? Will it further automate jobs and, if so, which ones? Will it improve job quality, or worsen it? And what will AI mean for disparities in the labour market? Will we be able to harness the opportunities that it offers to reduce inequalities or will we instead see inequality rise even further? This session will take stock of what we know about the impact of AI on the labour market and what we might expect to see in the future, including as a result of the Covid-19 crisis.
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.
WIPS Conference Opening Plenary–
AI is reshaping economies and societies across the world, offering new products and services, and promising to generate productivity gains, improve efficiency and lower costs. But the adoption of AI also raises questions and fuels anxieties; as AI transforms the way we work, we need to reflect how AI adoption in the workplace can be effective, beneficial, people-centred and accepted by the population at large. This opening session will set the scene for the week’s events, with opening remarks from senior OECD and German representatives and expert keynote addresses.
The OECD Framework for the Classification of AI Systems–
Different types of AI systems raise very different policy opportunities and challenges. As part of the AI-WIPS project, the OECD has 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.
AI and the Labour market: Interview with Dr. Salima Benhamou, France Stratégie–
AI and the Labour market: Interview with Professor Isamu Yamamoto, Keio Univerity, Japan–
AI and the Labour market: Interview with Prof. Wim Naudé, University College Cork, Ireland–
AI and the Labour market: Interview with Prof. Gina Neff, Oxford Internet Institute–
AI and the labour market: Interview with Karin Kimbrough (PhD), Chief Economist, LinkedIn–
AI System Classification for Policymakers–
AI: The human-machine relationship–
The future of work is now–
New skills at work–
How AI can help develop a COVID-19 vaccine
Artificial intelligence technologies can help to develop a vaccine by speeding up clinical trials. Nozha Boujema from the World Health Organisation explains how.
The privacy implications for tracking and tracing COVID-19
Artificial intelligence has played an important role in the response to the COVID-19 crisis. Part of this has been with tracking and tracing applications, which have had muted success due to concerns about privacy and data. This underlines the need to have government policies that address these concerns.
The Launch of the OECD AI Policy Observatory
The OECD AI Policy Observatory, launched in February 2020, aims to help countries enable, nurture, and monitor the responsible development of trustworthy artificial intelligence for the benefit of society.
Developing a Classification of AI Systems–
Having agreed upon a high-level definition of an AI system, the OECD’s network of experts is developing a user-friendly framework to classify and help policymakers navigate AI systems and understand their different policy considerations.
Shaping trustworthy Artificial Intelligence–
When you look at the different anxieties that exist around artificial intelligence (AI), a frequent term that comes up is trust.
Webcast: Launch of OECD.AI
Watch the entire OECD.AI Observatory launch that took place at the OECD in February 2020.
The Brave New World of Artificial Intelligence–
Artificial intelligence is a game-changer. It could boost global productivity from 0.8% to 1.4% a year. But with thorny issues like job automation and data privacy, does AI-spurred growth come at a cost?
Gary Kasparov supports OECD work on AI
Garry Kasparov welcomes delegates and others who attended the 2017 OECD Conference: Intelligent Machines and Smarter Policies in Paris.
Artificial intelligence is already transforming your life–
Artificial intelligence is already transforming our lives. At the OECD conference, “AI: Intelligent Machines, Smart Policies,” we will discuss the role of policy and international co-operation.