Artificial Intelligence: A Review of the Economic Context and Policy Agenda

Caroline Paunov and Dominique Guellec ()
Additional contact information
Dominique Guellec: OST: Observatoire des Sciences et Techniques

A chapter in Platforms and Artificial Intelligence, 2022, pp 79-101 from Springer

Abstract: 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.

Keywords: Artificial intelligence; Information economy; Innovation policy (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-030-90192-9_4

Ordering information: This item can be ordered from
http://www.springer.com/9783030901929

DOI: 10.1007/978-3-030-90192-9_4

Access Statistics for this chapter

More chapters in Progress in IS from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().