000			04679naaaa2201069uu 4500
003			BUT
005			20230413112048.0
006			m o d
007			cr|mn|---annan
008			20230405s2023 xx |||||o ||| eng|| d
020			_a9783036566009
020			_a9783036566016
040			_aoapen _coapen
041	0		_aeng
080			_a004.8
100	1		_avan Wynsberghe, Aimee _4edt
245	1	0	_aTowards the Sustainability of AI; Multi-Disciplinary Approaches to Investigate the Hidden Costs of AI
260			_aBasel _bMDPI - Multidisciplinary Digital Publishing Institute _c2023
300			_a1 electronic resource (190 p.)
506	0		_aOpen Access _2star _fUnrestricted online access
520			_aOur era is characterized by two major phenomena. On the one hand, we are confronted by climate and environmental crises constituted by, among others, changing weather patterns, loss of biodiversity and natural wildlife, and ecosystem degradation. On the other hand, we are experiencing an ongoing technological evolution culminating in the rise of artificial intelligence (AI). The popular notion of “AI for Sustainability” constitutes an attempt to connect these two phenomena in a beneficial way by using AI to alleviate climate and environmental worries. AI is increasingly being used in the analysis, mitigation, and prevention of the climate and environmental crises and their effects. Much less attention has been paid to the idea of the “Sustainability of AI”, which focusses on the materiality of AI technologies themselves. Indeed, what are the hidden costs of AI? Although we use AI in combatting the climate and environmental crises, does it not have its own contributions to these crises? And, if so, how do we account for these contributions? The Special Issue is the first attempt to address the topic of “Sustainable AI” from a multi-disciplinary perspective. The authors that contributed to this issue come from diverse fields such as philosophy, ethics, sociology, law, and engineering. The included papers represent the first steps in understanding what it means to tackle the climate and environmental crises with AI while refraining from aggravating these crises.
540			_aCreative Commons _fhttps://creativecommons.org/licenses/by/4.0/ _2cc
546			_aEnglish
650		0	_aИскусственный интеллект _94518
653			_aartificial intelligence
653			_aSustainable Development Goals
653			_aESG
653			_aCSR
653			_areporting
653			_adisclosure
653			_asustainability
653			_asustainable AI
653			_agreenwashing
653			_aunfair commercial practices
653			_aAI Act
653			_adigitalization
653			_asustainable digitalization
653			_asustainable development
653			_aSDGs
653			_aAssessment Framework
653			_amindful
653			_adigital age
653			_adigitainability
653			_adigital technologies
653			_aqualitative research
653			_aenvironmental impact
653			_acarboncentric
653			_atechnocentric
653			_asurrogate-based optimisation
653			_asurrogate model
653			_asequential model-based optimisation
653			_aBayesian optimisation
653			_aGreen AI
653			_amachine learning
653			_aintergenerational justice
653			_afuture generations
653			_apolicy-making
653			_aexplainability
653			_atransparency
653			_aAI
653			_aAI governance
653			_aethics
653			_aethical AI
653			_adifferential privacy
653			_aAI certification
653			_aethics of AI
653			_aAI ethics
653			_achecklist ethics
653			_aethics of carefulness
653			_aethics of desirability
653			_aclimate justice
653			_ainfrastructure
653			_aclimate change
653			_anudging
653			_adigital nudging
653			_alibertarian paternalism
653			_aautonomy
653			_acarbon footprint
653			_aLCA
653			_an/a
700	1		_aVandemeulebroucke, Tijs _4edt
700	1		_aBolte, Larissa _4edt
700	1		_aNachid, Jamila _4edt
700	1		_avan Wynsberghe, Aimee _4oth
700	1		_aVandemeulebroucke, Tijs _4oth
700	1		_aBolte, Larissa _4oth
700	1		_aNachid, Jamila _4oth
856	4	0	_awww.oapen.org _uhttps://mdpi.com/books/pdfview/book/7019 _70 _zDownload
856	4	0	_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/98966 _70 _zDescription
909			_c4 _dDarya Shvetsova
942			_2udc _cEE
999			_c6444 _d6444