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Towards an experiential ethics of AI and robots: a review of empirical research on human encounters

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Název: Towards an experiential ethics of AI and robots: a review of empirical research on human encounters
Autoři: Fischer, Björn, Frennert, Susanne
Přispěvatelé: Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Design Sciences, CIRCLE, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för designvetenskaper, CIRCLE, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Design Sciences, Ergonomics and Aerosol Technology, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för designvetenskaper, Ergonomi och aerosolteknologi, Originator
Zdroj: Technological Forecasting and Social Change. 219
Témata: Humanities and the Arts, Philosophy, Ethics and Religion, Ethics, Humaniora och konst, Filosofi, etik och religion, Etik, Natural Sciences, Computer and Information Sciences, Human Computer Interaction, Naturvetenskap, Data- och informationsvetenskap (Datateknik), Människa-datorinteraktion (Interaktionsdesign)
Popis: The past few years have seen a profound re-acceleration of interest in artificial intelligence (AI) and robotics, accompanied by intensifying debates about ethical regulation. Yet, less attention has been paid to how people experience AI and robots in practice. This paper explores the potential of an experiential approach to AI and robot ethics. Specifically, we review empirical studies on human experiences with AI and robots and argue for the value of assembling and analysing findings from studies that inquire into the everyday encounters with AI and robots. Following a hybrid approach that combines systematic review with narrative social inquiry, we identify six key dimensions of human experiences with AI and robots: appreciation of imperfection, formation of affective relationships, discomfort with lack of transparency, addition of invisible work, shifting responsibilities, and readiness to trade off privacy for other benefits. By placing these dimensions into dialogue with ethical AI governance, pragmatist philosophy and Science and Technology Studies, we argue for an experiential approach to ethics, i.e. an approach that grounds ethical reflection in lived encounters, where abstract principles often take new, context-specific meanings. Thereby, we invite attentiveness to ethical concerns that might otherwise become sidelined in extant AI and robotics policy frameworks.
Přístupová URL adresa: https://doi.org/10.1016/j.techfore.2025.124264
Databáze: SwePub
Popis
Abstrakt:The past few years have seen a profound re-acceleration of interest in artificial intelligence (AI) and robotics, accompanied by intensifying debates about ethical regulation. Yet, less attention has been paid to how people experience AI and robots in practice. This paper explores the potential of an experiential approach to AI and robot ethics. Specifically, we review empirical studies on human experiences with AI and robots and argue for the value of assembling and analysing findings from studies that inquire into the everyday encounters with AI and robots. Following a hybrid approach that combines systematic review with narrative social inquiry, we identify six key dimensions of human experiences with AI and robots: appreciation of imperfection, formation of affective relationships, discomfort with lack of transparency, addition of invisible work, shifting responsibilities, and readiness to trade off privacy for other benefits. By placing these dimensions into dialogue with ethical AI governance, pragmatist philosophy and Science and Technology Studies, we argue for an experiential approach to ethics, i.e. an approach that grounds ethical reflection in lived encounters, where abstract principles often take new, context-specific meanings. Thereby, we invite attentiveness to ethical concerns that might otherwise become sidelined in extant AI and robotics policy frameworks.
ISSN:00401625
18735509
DOI:10.1016/j.techfore.2025.124264