Abstract
Artificial intelligence (AI) comprises a range of methods that allow to extract and exploit more information from larger amounts of data. AI is recognised as a transformative technology for most economic activities and for government operations. It might be a driver of economic growth in the coming decades, contribute to improved well-being and healthcare, but also trigger churning on the labour market and possibly widening income inequalities. Hence the interest of all governments in this technology and the design and deployment of significant policy agendas. National policies aim at accelerating the pace of development of AI and its deployment for serving the public good, while mitigating its adverse effects. This chapter reviews the economic characteristics of AI and the policy agendas; it examines 12 selected national initiatives in the field of AI.
This chapter does not reflect the views of the OECD or its member countries, nor the views of the OST.
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Notes
- 1.
The EU Strategy for AI discussed here includes the Communication from the Commission to the European Parliament, the European Council, the Council, the European Economic and Social Committee and the Committee of the Regions on Artificial Intelligence for Europe (released in March 2018), and the associated Coordinated Plan on AI.
References
Bresnahan, T., & Trajtenberg, M. (1995). General purpose technologies ‘Engines of growth’? Journal of Econometrics, 65(1), 83–108. https://doi.org/10.1016/0304-4076(94)01598-T
Brynjolfsson, E., Rock, D., & Syverson, C. (2019). Artificial intelligence and the modern productivity paradox: A clash of expectations and statistics. NBER Working Paper.
Cockburn, I., Henderson, R., & Stern, S. (2018). The impact of artificial intelligence on innovation. NBER.
David, P. (1990). The dynamo and the computer: An historical perspective on the modern productivity paradox. American Economic Review, 80(2), 355–361.
Dutton, T., Barron, B., & Boskovic, G. (2018). Building an AI World: Report on national and regional AI strategies. CIFAR. Accessed February 11, 2019, from https://www.cifar.ca/docs/defaultsource/aisociety/buildinganaiworld_eng.pdf?sfvrsn=fb18d129_4
Geissbauer, R., et al. (2017). Digital Factories 2020: Shaping the future of manufacturing. PwC. Accessed April 20, 2018, from www.pwc.de/de/digitale-transformation/digital-factories-2020-shaping-the-future-of-manufacturing.pdf
General Electric. (2017). What is FastWorks? GE Reports Canada. Accessed April 25, 2018, from https://gereports.ca/fastworks/
Grijpink, F., Lau, A., & Vara, J. (2015, October). Demystifying the hackathon. McKinsey & Company. Accessed March 30, 2018, from www.mckinsey.com/business-functions/digital-mckinsey/our-insights/demystifying-the-hackathon
Guellec, D., & Paunov, C. (2018). Innovation policies in the digital age. OECD Science, Technology and Industry Policy Papers, No. 59. OECD Publishing. https://doi.org/10.1787/eadd1094-en
Harper, S., et al. (2009). The collaboration game: Building value in the retail supply chain. Booz & Company. Accessed July 24, 2018, from www.strategyand.pwc.com/media/uploads/Collaboration_Game.pdf
Lambert, F. (2016). Elon Musk clarifies the use of the word ‘beta’ for the Autopilot, says will need at least 1 billion miles to get out of it. Electrek. Accessed April 17, 2018, from https://electrek.co/2016/07/11/tesla-autopilot-beta-elon-musk-1-billion-miles-data/
Lehne, J., & Preston, F. (2018). Making concrete change: Innovation in low-carbon cement and concrete. Chatham House. Accessed July 26, 2018, from www.chathamhouse.org/publication/making-concrete-change-innovation-low-carbon-cement-and-concrete
Nascimento, S., Polvora, A., & Sousa Lourenço, J. (2018). #Blockchain4EU: Blockchain for industrial transformations. Publications Office of the European Union. https://doi.org/10.2760/204920
OECD. (2018). The Science, technology and innovation outlook - adapting to technological and societal disruption. https://doi.org/10.1787/sti_in_outlook-2018-en
Pandolph, S. (2017). Sephora leads the way in personalization. Business Insider France. Accessed December 19, 2018, from https://www.businessinsider.fr/us/sephora-leads-the-way-in-personalization-2017-9
Planes-Satorra, S., & Paunov, C. (2019). The impacts of digital transformation on innovation across sectors (working title). OECD Science, Technology and Industry Policy Papers. OECD Publishing.
Paunov, C., Planes-Satorra, S., & Ravelli, G. (2019). Review of national policy initiatives in support of digital and AI-driven innovation. OECD. https://www.oecd-ilibrary.org/content/paper/15491174-en
Provenance. (2018). Every product has a story. Accessed August 3, 2018, from www.provenance.org/
Reeves, M., & Whitaker, K. (2018). Reinventing the enterprise – Digitally. BCG Henderson Institute, Boston Consulting Group. Accessed April 19, 2018, from www.bcg.com/publications/2018/reinventing-enterprise-digitally.aspx
Schoenberger, R. (2014). Simulation software: From parts to manufacturing. Today’s Motor Vehicles. Accessed April 13, 2018, from www.todaysmotorvehicles.com/article/tmv0514-design-simulation-software/
Stolwijk, C., & Punter, M. (2018). Field labs to accelerate the digitization of the Dutch Industry: Country policy case study contribution to the OECD TIP Digital and Open Innovation project. TNO.
Wagner, K. (2018). Digital startups and clusters in Austria: Country case study contribution to the OECD TIP Digital and Open Innovation project. Federal Ministry of Digital and Economic Affairs.
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Paunov, C., Guellec, D. (2022). Artificial Intelligence: A Review of the Economic Context and Policy Agenda. In: Bounfour, A. (eds) Platforms and Artificial Intelligence . Progress in IS. Springer, Cham. https://doi.org/10.1007/978-3-030-90192-9_4
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