OECD Artificial Intelligence Papers

From OECD Publishing
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42: AI and the future of social protection in OECD countries: Oecd
41: Macroeconomic productivity gains from Artificial Intelligence in G7 economies: Francesco Filippucci, Peter Gal, Katharina Laengle and Matthias Schief
40: Is generative AI a General Purpose Technology?: Implications for productivity and policy: Flavio Calvino, Daniel Haerle and Sarah Liu
39: The effects of generative AI on productivity, innovation and entrepreneurship: Flavio Calvino, Jelmer Reijerink and Lea Samek
38: Sharing trustworthy AI models with privacy-enhancing technologies: Oecd
37: Developments in Artificial Intelligence markets: New indicators based on model characteristics, prices and providers: New indicators based on model characteristics, prices and providers: Christophe André, Manuel Bétin, Peter Gal and Paul Peltier
36: Digital and AI skills in health occupations: What do we know about new demand?: Fabio Manca and Diego Eslava
35: AI skills and capabilities in Canada: Diego Eslava, Fabio Manca and Caroline Paunov
34: Towards a common reporting framework for AI incidents: Oecd
33: Intellectual property issues in artificial intelligence trained on scraped data: Oecd
32: Steering AI's future: Strategies for anticipatory governance: Oecd
31: Algorithmic management in the workplace: New evidence from an OECD employer survey: Anna Milanez, Annikka Lemmens and Carla Ruggiu
30: A sectoral taxonomy of AI intensity: Flavio Calvino, Hélène Dernis, Lea Samek and Antonio Ughi
29: Miracle or Myth? Assessing the macroeconomic productivity gains from Artificial Intelligence: Francesco Filippucci, Peter Gal and Matthias Schief
28: Artificial Intelligence and the health workforce: Perspectives from medical associations on AI in health: Margarita Almyranti, Eric Sutherland, Dr. Nachman Ash and Samuel Eiszele
27: Assessing potential future artificial intelligence risks, benefits and policy imperatives: Oecd
26: Who will be the workers most affected by AI?: A closer look at the impact of AI on women, low-skilled workers and other groups: Marguerita Lane
25: Measuring the demand for AI skills in the United Kingdom: Julia Schmidt, Graham Pilgrim and Annabelle Mourougane
24: Regulatory approaches to Artificial Intelligence in finance: Oecd
23: The potential impact of Artificial Intelligence on equity and inclusion in education: Samo Varsik and Lydia Vosberg
22: AI, data governance and privacy: Synergies and areas of international co-operation: Oecd
21: Using AI to manage minimum income benefits and unemployment assistance: Opportunities, risks and possible policy directions: Annelore Verhagen
20: Governing with Artificial Intelligence: Are governments ready?: Oecd
19: A new dawn for public employment services: Service delivery in the age of artificial intelligence: Ailbhe Brioscú, Anne Lauringson, Anne Saint-Martin and Theodora Xenogiani
18: Artificial intelligence, data and competition: Oecd
17: Artificial intelligence and the changing demand for skills in Canada: The increasing importance of social skills: Andrew Green
16: Defining AI incidents and related terms: Oecd
15: The impact of Artificial Intelligence on productivity, distribution and growth: Key mechanisms, initial evidence and policy challenges: Francesco Filippucci, Peter Gal, Cecilia Jona-Lasinio, Alvaro Leandro and Giuseppe Nicoletti
14: Artificial intelligence and the changing demand for skills in the labour market: Andrew Green
13: Artificial intelligence and wage inequality: Alexandre Georgieff
12: Generative AI for anti-corruption and integrity in government: Taking stock of promise, perils and practice: Gavin Ugale and Cameron Hall
11: Using AI in the workplace: Opportunities, risks and policy responses: Oecd
10: Collective action for responsible AI in health: Brian Anderson and Eric Sutherland
9: Generative artificial intelligence in finance: Oecd
8: Explanatory memorandum on the updated OECD definition of an AI system: Oecd
7: Using AI to support people with disability in the labour market: Opportunities and challenges: Chloé Touzet
6: What technologies are at the core of AI?: An exploration based on patent data: Flavio Calvino, Chiara Criscuolo, Hélène Dernis and Lea Samek
5: Common guideposts to promote interoperability in AI risk management: Oecd
4: Stocktaking for the development of an AI incident definition: Oecd
3: The state of implementation of the OECD AI Principles four years on: Oecd
2: Emerging trends in AI skill demand across 14 OECD countries: Francesca Borgonovi, Flavio Calvino, Chiara Criscuolo, Lea Samek, Helke Seitz, Julia Nania, Julia Nitschke and Layla O’Kane
1: Initial policy considerations for generative artificial intelligence: Philippe Lorenz, Karine Perset and Jamie Berryhill