The OECD programme on AI in Work, Innovation, Productivity and Skills (AI-WIPS) - with the support of Germany – analyses the impact of AI on the labour market, skills and social policy.
Overview
The OECD is working with governments around the world to try to measure and analyse the impact of AI on training needs and labour markets. This site aims to help governments to shape AI-related policies that are responsible and human-centred, and that improve individual and societal well-being.
The third edition of the OECD International Conference on AI in Work, Innovation, Productivity, and Skills took place virtually from Monday, 27 to Thursday, 30 March 2023.
The 2023 International Conference on AI in Work, Innovation, Productivity, and Skills brought together leading voices from the policy, academic, business, technical and civil society communities to discuss how AI affects employment, skills, productivity, and innovation, and how policymaking can respond. Alongside the implications of ChatGPT-like tools, participants discussed new OECD evidence on the impact of AI in the workplace and education, whether AI is the solution to skills shortages, risk-based approaches for AI governance and much more.
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KI-Observatorium (AI Observatory)
The German AI Observatory was launched on 3 March 2020 in Berlin. The AI Observatory builds on the Federal Government’s AI strategy and it is located within the Policy Lab Digital, Work and Society - an agile think tank of the German Federal Ministry of Labour and Social Affairs (BMAS).
With the AI Observatory, BMAS is implementing an essential measure within the framework of the AI strategy of the Federal Government. The Observatory aims to enable and promote the responsible, people-centred and participatory use of AI in the working world and society. The Observatory will act as a knowledge carrier and driving force both within and outside the BMAS. In addition, it has a cross-sectional function to the numerous measures of the BMAS within the framework of the AI strategy.
The tasks and goals of the AI observatory include:
- Impact analysis, scenario development and trend monitoring in order to develop guidelines, audits and frameworks for action for the use of AI in the working world
- Development of procedures and methods for the checking and traceability of algorithmic forecasting and decision-making systems
- Facilitating access to the issue of AI and social dialogue on it and enabling cooperation with AI observatories at transnational level
- Guidelines, studies, documentation and practice cases in order to enhance skills and respond to key qualifications and qualification needs