The hard limit on human nonanthropocentrism

Scheessele, Michael R.

doi:10.1007/s00146-021-01182-4

Cited by 4 publications

(2 citation statements)

References 36 publications

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“…There is no reason -at least not a priori -to expect the AI risk to be outside of the domain of the classical risk analysis, or to somehow circumvent the usual research approaches relevant for its assessment and management (cf. Scheessele 2021).…”

Section: Ai Fear-mongering: Philosophy and Marketingmentioning

confidence: 99%

Who's really afraid of AI?: Anthropocentric bias and postbiological evolution

Ćirković¹

2022

Belgrade Philosop Ann

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The advent of artificial intelligence (AI) systems has provoked a lot of discussions in both epistemological, bioethical and risk-analytic terms, much of it rather paranoid in nature. Unless one takes an extreme anthropocentric and chronocentric stance, this process can be safely regarded as part and parcel of the sciences of the origin. In this contribution, I would like to suggest that at least four different classes of arguments could be brought forth against the proposition that AI - either human-level or superintelligent - represents in itself a credible existential threat to humanity in either nearby or distant future. Part of the same argumentation is applicable to the general notion of postbiological evolution, which has caused even more unnecessary confusion and uproar in both laymen and philosophical circles. While the due attention should be given to the risks and dangers of the transitional period, there are many reasons why we should openly support and cheer for humanity's transition into the postbiological epoch.

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Section: Ai Fear-mongering: Philosophy and Marketingmentioning

confidence: 99%

Who's really afraid of AI?: Anthropocentric bias and postbiological evolution

Ćirković¹

2022

Belgrade Philosop Ann

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“…To this,Scheessele (2022) and others add conceptual anthropocentrism, denoting the existence of a uniquely human view of the world. 2 Though, as noted byOwe and Baum (2021b) in the context of sustainability and AI, "it is not enough to sustain nonhumans for their instrumental role for humans".…”

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confidence: 99%

The Environmental Costs of Artificial Intelligence for Healthcare

Katirai

2024

ABR

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Healthcare has emerged as a key setting where expectations are rising for the potential benefits of artificial intelligence (AI), encompassing a range of technologies of varying utility and benefit. This paper argues that, even as the development of AI for healthcare has been pushed forward by a range of public and private actors, insufficient attention has been paid to a key contradiction at the center of AI for healthcare: that its pursuit to improve health is necessarily accompanied by environmental costs which pose risks to human and environmental health—costs which are not necessarily directly borne by those benefiting from the technologies. This perspective paper begins by examining the purported promise of AI in healthcare, contrasting this with the environmental costs which arise across the AI lifecycle, to highlight this contradiction inherent in the pursuit of AI. Its advancement—including in healthcare—is often described through deterministic language that presents it as inevitable. Yet, this paper argues that there is need for recognition of the environmental harm which this pursuit can lead to. Given recent initiatives to incorporate stakeholder involvement into decision-making around AI, the paper closes with a call for an expanded conception of stakeholders in AI for healthcare, to include consideration of those who may be indirectly affected by its development and deployment.

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Socially responsible facial recognition of animals

Roberts

2023

AI Ethics

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The hard limit on human nonanthropocentrism

Cited by 4 publications

References 36 publications

Who's really afraid of AI?: Anthropocentric bias and postbiological evolution

Who's really afraid of AI?: Anthropocentric bias and postbiological evolution

The Environmental Costs of Artificial Intelligence for Healthcare

Socially responsible facial recognition of animals

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