Ethics work in AI-based distant surveillance of patients at home

Sidsel Lond Grosen; Agnete Meldgaard Hansen; Annette Kamp

Ethics work in AI-based distant surveillance of patients at home

Bidragets oversatte titel: Etisk arbejde i AI-baseret overvågning af patienter i eget hjem

Sidsel Lond Grosen, Agnete Meldgaard Hansen, Annette Kamp

Publikation: Konferencebidrag › Paper › Forskning › peer review

Abstract

AI and datafication are expected to fundamentally transform professional work (Mayer-Schönberger and Cukier 2013; Susskind and Susskind 2015) and public sector service delivery in the future (e.g. DK Government 2019). However, many recent studies take a critical stance towards the widespread, but simplified conception of AI as leading to automation of human tasks of assessment, decision-making and learning (e.g. Pink et al. 2022). Newly emerging studies demonstrate that use of AI more often results in a re-constitution of professionalism, where new forms of professionalism and new professional groups arise (Jørgensen 2021; Møhl 2019; Waardenburg et al. 2022). Here, AI combined with other datafication processes result in a redistribution of knowledge and work between actors and technologies, and across value chains (Plesner and Justesen 2022; Ruckenstein and Turunen 2020; Tubaro et al. 2020).

Bidragets oversatte titel	Etisk arbejde i AI-baseret overvågning af patienter i eget hjem
Originalsprog	Engelsk
Publikationsdato	14 aug. 2024
Status	Udgivet - 14 aug. 2024
Begivenhed	11th Nordic Working Life Conference: Nordic Working Life at a Crossroad - Roskilde University, Roskilde, Danmark Varighed: 14 aug. 2024 → 16 aug. 2024 Konferencens nummer: 11

Konference

Konference	11th Nordic Working Life Conference
Nummer	11
Lokation	Roskilde University
Land/Område	Danmark
By	Roskilde
Periode	14/08/2024 → 16/08/2024
Andet	Nordic Working Life at a Crossroad? “This will be the overarching framing of the 2024-version of the Nordic Working Life Conference. Societal developments are reconfiguring taken for granted elements of working life and working life studies: Technological developments with for example AI and platform work, new valorizations of work as when the less work movement meet workfare, and macro developments such as labor shortage and new ways of organizing work-capital relations. What happens to the workplace, traditionally a cornerstone of both development of and research on working life in the Nordic countries, when faced with these and other developments? What does it mean for workplace learning, collectivity, and democracy? What happens to the content and conceptualization of work, let alone professionalism, meaning and identity? And where does it leave industrial relations, collective rights, and labor market policy?

Citer dette

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title = "Ethics work in AI-based distant surveillance of patients at home",

abstract = "AI and datafication are expected to fundamentally transform professional work (Mayer-Sch{\"o}nberger and Cukier 2013; Susskind and Susskind 2015) and public sector service delivery in the future (e.g. DK Government 2019). However, many recent studies take a critical stance towards the widespread, but simplified conception of AI as leading to automation of human tasks of assessment, decision-making and learning (e.g. Pink et al. 2022). Newly emerging studies demonstrate that use of AI more often results in a re-constitution of professionalism, where new forms of professionalism and new professional groups arise (J{\o}rgensen 2021; M{\o}hl 2019; Waardenburg et al. 2022). Here, AI combined with other datafication processes result in a redistribution of knowledge and work between actors and technologies, and across value chains (Plesner and Justesen 2022; Ruckenstein and Turunen 2020; Tubaro et al. 2020).",

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AU - Kamp, Annette

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AB - AI and datafication are expected to fundamentally transform professional work (Mayer-Schönberger and Cukier 2013; Susskind and Susskind 2015) and public sector service delivery in the future (e.g. DK Government 2019). However, many recent studies take a critical stance towards the widespread, but simplified conception of AI as leading to automation of human tasks of assessment, decision-making and learning (e.g. Pink et al. 2022). Newly emerging studies demonstrate that use of AI more often results in a re-constitution of professionalism, where new forms of professionalism and new professional groups arise (Jørgensen 2021; Møhl 2019; Waardenburg et al. 2022). Here, AI combined with other datafication processes result in a redistribution of knowledge and work between actors and technologies, and across value chains (Plesner and Justesen 2022; Ruckenstein and Turunen 2020; Tubaro et al. 2020).

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