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What makes AI ‘intelligent’ and ‘caring’? Exploring affect and relationality across three sites of intelligence and care

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  • De Togni, Giulia
  • Erikainen, Sonja
  • Chan, Sarah
  • Cunningham-Burley, Sarah

Abstract

This paper scrutinises how AI and robotic technologies are transforming the relationships between people and machines in new affective, embodied and relational ways. Through investigating what it means to exist as human ‘in relation’ to AI across health and care contexts, we aim to make three main contributions. (1) We start by highlighting the complexities of philosophical issues surrounding the concepts of “artificial intelligence” and “ethical machines.” (2) We outline some potential challenges and opportunities that the creation of such technologies may bring in the health and care settings. We focus on AI applications that interface with health and care via examples where AI is explicitly designed as an ‘augmenting’ technology that can overcome human bodily and cognitive as well as socio-economic constraints. We focus on three dimensions of ‘intelligence’ - physical, interpretive, and emotional - using the examples of robotic surgery, digital pathology, and robot caregivers, respectively. Through investigating these areas, we interrogate the social context and implications of human-technology interaction in the interrelational sphere of care practice. (3) We argue, in conclusion, that there is a need for an interdisciplinary mode of theorising ‘intelligence’ as relational and affective in ways that can accommodate the fragmentation of both conceptual and material boundaries between human and AI, and human and machine. Our aim in investigating these sociological, philosophical and ethical questions is primarily to explore the relationship between affect, relationality and ‘intelligence,’ the intersection and integration of ‘human’ and ‘artificial’ intelligence, through an examination of how AI is used across different dimensions of intelligence. This allows us to scrutinise how ‘intelligence’ is ultimately conveyed, understood and (technologically or algorithmically) configured in practice through emerging relationships that go beyond the conceptual divisions between humans and machines, and humans vis-à-vis artificial intelligence-based technologies.

Suggested Citation

  • De Togni, Giulia & Erikainen, Sonja & Chan, Sarah & Cunningham-Burley, Sarah, 2021. "What makes AI ‘intelligent’ and ‘caring’? Exploring affect and relationality across three sites of intelligence and care," Social Science & Medicine, Elsevier, vol. 277(C).
    • Handle: RePEc:eee:socmed:v:277:y:2021:i:c:s0277953621002069
    DOI: 10.1016/j.socscimed.2021.113874
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    References listed on IDEAS

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    1. Monnier, Moana, 2015. "Difficulties in Defining Social-Emotional Intelligence, Competences and Skills - a Theoretical Analysis and Structural Suggestion," International Journal for Research in Vocational Education and Training (IJRVET), European Research Network in Vocational Education and Training (VETNET), European Educational Research Association, vol. 2(1), pages 59-84.
    2. Forman, Rebecca & Atun, Rifat & McKee, Martin & Mossialos, Elias, 2020. "12 Lessons learned from the management of the coronavirus pandemic," Health Policy, Elsevier, vol. 124(6), pages 577-580.
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    Cited by:

    1. Wang, Weisha & Wang, Yichuan & Chen, Long & Ma, Rui & Zhang, Minhao, 2024. "Justice at the Forefront: Cultivating felt accountability towards Artificial Intelligence among healthcare professionals," Social Science & Medicine, Elsevier, vol. 347(C).
    2. Kusta, Olsi & Bearman, Margaret & Gorur, Radhika & Risør, Torsten & Brodersen, John Brandt & Hoeyer, Klaus, 2024. "Speed, accuracy, and efficiency: The promises and practices of digitization in pathology," Social Science & Medicine, Elsevier, vol. 345(C).

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