Sustainable AI and Intergenerational Justice
نویسندگان
چکیده
Recently, attention has been drawn to the sustainability of artificial intelligence (AI) in terms environmental costs. However, is not tantamount reduction By shifting focus intergenerational justice as one constitutive normative pillars sustainability, paper identifies a reductionist view on AI and constructively contributes conceptual extension. It further develops framework that establishes issues raised by uses AI. The reveals how using for decision support policies with long-term impacts can negatively affect future persons. In particular, analysis demonstrates protection or climate mitigation include assumptions about social discounting persons’ preferences. These are highly controversial have significant influence weight assigned potentially detrimental policy Furthermore, these underlying seldom transparent within Subsequently, provides list assessment questions constitutes guideline revision techniques this regard. so doing, insights be made more sustainable become apparent.
منابع مشابه
Sustainability and Intergenerational Justice
As temporary custodians of the planet, those who are alive at any given time can do a better or worse job of handing it on to their successors. I take that simple thought to animate concerns about what we ought to be doing to preserve conditions that will make life worth living (or indeed liveable at all) in the future, and especially in the time after those currently alive will have died (‘fut...
متن کاملIntergenerational Justice and the Chain of Obligation
The actions and decisions taken by the present generation will affect not only the welfare but also the composition of future generations. A number of authors have used this fact to bolster the conclusion that the present is only weakly obligated to provide for future welfare since in choosing between futures of poverty and abundance, we are not deciding the welfare of a welldefined group of fu...
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ژورنال
عنوان ژورنال: Sustainability
سال: 2022
ISSN: ['2071-1050']
DOI: https://doi.org/10.3390/su14073922