The Politics of Digital Pharmacology

Heidenreich, Felix; Weber-Stein, Florian

doi:10.1515/9783839462492

Cited by 4 publications

(1 citation statement)

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“…In transforming our environments, DL applications are not merely neutral or passive instruments, but have their own kind of agency [257,259]. They transform our experiential, cultural, and social environments with lasting effect [235,[264][265][266]. The importance of such considerations becomes more obvious when considering the fact that DL-based systems are not only making suggestions, but also making decisions for us, and in a way that no human being has deliberately or strategically planned [267].…”

Section: Technological Mediation: Why We Cannot Separate the Human Fr...mentioning

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: Technological Mediation: Why We Cannot Separate the Human Fr...mentioning

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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Pharmakon—Online and Offline: Art as Togetherness and Being Apart in the Hong Kong SAR

Vigneron,

Wong

2024

Contemporary East Asian Visual Cultures, Societies and Politics

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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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The Politics of Digital Pharmacology

Abstract: Cited after F. Neuhouser: Rousseau und die Idee einer 'pathologischen' Gesellschaft, p. 637ff.

Cited by 4 publications

References 0 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

Pharmakon—Online and Offline: Art as Togetherness and Being Apart in the Hong Kong SAR

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

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