OECD Artificial Intelligence Review of Germany
This report provides an international benchmarking of Germany’s artificial intelligence (AI) ecosystem and discusses progress in implementing its national AI strategy. The report draws on quantitative and qualitative data and insights from the OECD.AI Policy Observatory and from the OECD Programme on AI in Work, Innovation, Productivity and Skills (AI-WIPS) – an OECD research programme financed by the German Federal Government – and results from a series of interviews with a wide range of stakeholders in Germany. The review discusses Germany’s strengths, weaknesses, opportunities, and challenges in AI, and provides recommendations to steer AI policy in Germany in the coming years. The evidence is presented according to the core focus areas outlined in Germany’s national AI strategy, which include: 1) minds; 2) research; 3) transfer and applications; 4) the world of work; 5) policy and regulatory frameworks; and 6) society. Furthermore, the report discusses AI infrastructure and it includes three sector spotlights on AI in the public sector, AI and environmental sustainability and AI and healthcare.
Also available in: German
Spotlight: AI and environmental sustainability
This chapter examines the intersection of artificial intelligence (AI) and environmental sustainability and outlines how the German AI ecosystem can strengthen its leading position to leverage AI for rapid decarbonisation and other sustainability goals. It offers an overview of initiatives across federal ministries, states, academia, industry, and civil society. It describes how AI can enable climate action and crucial uses cases in strategic sectors such as energy, transport, industry, and agriculture. The chapter looks at ways Germany can strengthen its AI-sustainability ecosystem through inter-ministerial and interdisciplinary co-operation, knowledge-sharing and AI education. Germany could apply a whole-of-government approach to AI and environmental sustainability. Finally, the chapter covers approaches to measuring and mitigating the environmental impacts of AI compute infrastructure, identifies critical gaps and makes four recommendations for future action.
Also available in: German
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