Anthropotechnik/Ergonomie

Liggieri, Kevin

doi:10.1007/978-3-476-05604-7_33

Cited by 4 publications

(1 citation statement)

References 7 publications

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“…If we want to harness the promise of DL and create a fruitful and humane future with these technologies, it is crucial and urgent that we think through the implications of DL not only from the technical perspective of science and engineering, but also from a more encompassing humanities perspective. The reason for this is that our understanding of, and interactions with, technology is always inextricably linked with negotiating human self-understanding [83]. Care and thought must be given to making sure that our technologies do not ultimately hollow out human values, forms of sense making, and resources that motivate action from under us-Bernard Stiegler analyzes how digital technologies tend to undermine and even eliminate reflection and questioning of their development.…”

Section: A Call To Assessment From a Humanities Perspectivementioning

confidence: 99%

Assessing Deep Learning: A Work Program for the Humanities in the Age of Artificial Intelligence

Segessenmann,

Stadelmann,

Davison

et al. 2023

SSRN Journal

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Section: A Call To Assessment From a Humanities Perspectivementioning

confidence: 99%

Assessing Deep Learning: A Work Program for the Humanities in the Age of Artificial Intelligence

Segessenmann,

Stadelmann,

Davison

et al. 2023

SSRN Journal

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Die Quantifizierung des Menschen

Liggieri

2024

Interdisziplinäre Anthropologie

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Assessing deep learning: a work program for the humanities in the age of artificial intelligence

Segessenmann,

Stadelmann,

Davison

et al. 2023

AI Ethics

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Following the success of deep learning (DL) in research, we are now witnessing the fast and widespread adoption of artificial intelligence (AI) in daily life, influencing the way we act, think, and organize our lives. However, much still remains a mystery when it comes to how these systems achieve such high performance and why they reach the outputs they do. This presents us with an unusual combination: of technical mastery on the one hand, and a striking degree of mystery on the other. This conjunction is not only fascinating, but it also poses considerable risks, which urgently require our attention. Awareness of the need to analyze ethical implications, such as fairness, equality, and sustainability, is growing. However, other dimensions of inquiry receive less attention, including the subtle but pervasive ways in which our dealings with AI shape our way of living and thinking, transforming our culture and human self-understanding. If we want to deploy AI positively in the long term, a broader and more holistic assessment of the technology is vital, involving not only scientific and technical perspectives, but also those from the humanities. To this end, we present outlines of awork programfor the humanities that aim to contribute to assessing and guiding the potential, opportunities, and risks of further developing and deploying DL systems. This paper contains a thematic introduction (Sect. 1), an introduction to the workings of DL for non-technical readers (Sect. 2), and a main part, containing the outlines of a work program for the humanities (Sect. 3). Readers familiar with DL might want to ignore 2 and instead directly read 3 after 1.

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Anthropotechnik/Ergonomie

Cited by 4 publications

References 7 publications

Assessing Deep Learning: A Work Program for the Humanities in the Age of Artificial Intelligence

Assessing Deep Learning: A Work Program for the Humanities in the Age of Artificial Intelligence

Die Quantifizierung des Menschen

Assessing deep learning: a work program for the humanities in the age of artificial intelligence

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