What should AI explain to you? Visions of older adults regarding explainable AI.

Background and objectives Artificial intelligence (AI) combined with smart sensors or conversational agents are becoming part of our lives, and have the potential to improve aging in place by supporting independent living. Trust and willingness to use AI seem essential for actual embedding. Explaina...

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Published in:Gerontologist Vol. 66; no. 2; pp. 1 - 13
Main Author: Leersum, Catharina Margaretha van
Format: Article
Published: Oxford University Press / USA Feb2026
Subjects:
Online Access:View this record in EBSCOhost
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        atl: What should AI explain to you? Visions of older adults regarding explainable AI.
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        au: Leersum, Catharina Margaretha van
        affil: Faculty of Humanities, Open Universiteit, Heerlen, The Netherlands
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        Netherlands
        Intellect
        Qualitative research
        Interprofessional relations
        Artificial intelligence
        Interviewing
        Decision making
        Attitude (Psychology)
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        Training
        Old age
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        Thematic analysis
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        Research methodology
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        Data analysis software
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          Intellect
          Qualitative research
          Interprofessional relations
          Artificial intelligence
          Interviewing
          Decision making
          Attitude (Psychology)
          Ability
          Telephones
          Training
          Old age
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          Research funding
          Thematic analysis
          Aging in place
          Research methodology
          Research
          Data analysis software
      keyword:
        Age in place
        Black box
        Decision-making
        Gerontechnology
        Age in place
        Black box
        Decision-making
        Gerontechnology
      ab: Background and objectives Artificial intelligence (AI) combined with smart sensors or conversational agents are becoming part of our lives, and have the potential to improve aging in place by supporting independent living. Trust and willingness to use AI seem essential for actual embedding. Explainable AI (XAI), originating from the recognition that AI infrastructures often operate in an opaque, "black boxed" way, might assist in understanding the underlying logic of AI-made decisions. However, it is unknown what older adults think about XAI and what they consider as needed explainability. Research design and methods I conducted 28 semi-structured interviews to explore XAI in the worlds of older adults. Inductive analysis was applied to analyze what do older adults know about AI and how do they imagine our society with AI? What is XAI to them and how do they value explainability? Findings The analysis resulted in nine themes: four regarding the knowledge on AI of older adults, including definitions, knowledge acquisition, attitudes, and expectations, and five themes were leading for the views on XAI in which XAI is not desirable, XAI is necessary, or collaboration is preferred. Discussion and implications The visions of XAI are different from current technological discourses. For older adults, XAI is not only technological, but a constellation between humans and machines. Most argue that a form of joint decision-making is important. As a follow-up, it seems recommended to explore the enactment of XAI in real life, and investigate the form or degree of XAI needed and for whom.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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