000			02837nam a22003971i 4500
003			UkCbUP
005			20251204111620.0
008			230913s2024||||enk o ||1 0|eng|d
020			_a9781009483094
020			_z9781009483087
020			_z9781009483117
041			_aEnglish
082	0	0	_a658.056 _223/eng/20240318 _bNAU
100	1		_aNaudé, Wim A.,
100	1		_eauthor.
245	1	0	_aArtificial intelligence : _beconomic perspectives and models / _cWim Naudé, Thomas Gries, Nicola Dimitri.
260			_aCambridge, United Kingdom : _bCambridge University Press, _c2025.
300			_axvi, 360 pages :
500			_aTitle from publisher's bibliographic system (viewed on 28 May 2024).
505			_a 1. Introduction; 2. Artificial Intelligence and economics: a gentle introduction; 3. Artificial Intelligence and the economics of decision-making; 4. Artificial Intelligence in the production factor; 5. Artificial Intelligence, growth and inequality; 6. Investing in Artificial Intelligence: breakthroughs and backlashes; 7. Artificial Intelligence arms races as innovation contests; 8. Directing Artificial Intelligence innovation and diffusion; 9. Artificial Intelligence, big data and public policy; 10. The future of Artificial Intelligence and implications for economics.
506			_aAccess restricted top subscribing institutions.
520			_aIs Artificial Intelligence a more significant invention than electricity? Will it result in explosive economic growth and unimaginable wealth for all, or will it cause the extinction of all humans? Artificial Intelligence: Economic Perspectives and Models provides a sober analysis of these questions from an economics perspective. It argues that to better understand the impact of AI on economic outcomes, we must fundamentally change the way we think about AI in relation to models of economic growth. It describes the progress that has been made so far and offers two ways in which current modelling can be improved: firstly, to incorporate the nature of AI as providing abilities that complement and/or substitute for labour, and secondly, to consider demand-side constraints. Outlining the decision-theory basis of both AI and economics, this book shows how this, and the incorporation of AI into economic models, can provide useful tools for safe, human-centered AI.
650		0	_aArtificial intelligence _94
650		0	_aManagement
650		0	_xEconomic aspects.
650		0	_xTechnological innovations.
700	1		_aGries, Thomas,
700	1		_aDimitri, Nicola
700	1		_d1960- _eauthor.
700	1		_eauthor.
776	0	8	_iPrint version: _z9781009483087.
856	4	0	_uhttps://ezproxy.lib.gla.ac.uk/login?url=https://doi.org/10.1017/9781009483094
856	4	0	_zConnect to resource
907			_a.b41726078
942			_2ddc _cBOOKS
999			_c46275 _d46275