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How Do Older Adults Perceive Bias and Discrimination in AI? An Exploratory Scoping Review of the Evidence and Its Relationship with Digital and AI Literacy

  • Industry Promotion Research
  • Abbr : IPR
  • 2026, 11(4), pp.389~400
  • DOI : 10.21186/IPR.2026.11.4.389
  • Publisher : Industrial Promotion Institute
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Received : September 30, 2026
  • Accepted : October 22, 2026
  • Published : October 31, 2026

Ri-a Lee 1

1신한대학교

Accredited

ABSTRACT

This exploratory scoping review mapped how older adults perceive and experience bias, discrimination, and unfairness in artificial intelligence (AI), and how the literature treats digital, algorithmic, and AI literacy. Fo llowing the JBI guidance and PRISMA-ScR, PubMed and OpenAlex were searched on 29 August 2026, supplem ented by the author's manual searches of Scopus, Web of Science, Korean databases (RISS, KCI, DBpia, KISS) and Google Scholar (hit counts not logged; retrieved records entered as supplementary sources), citation chasing, and web searches. Of 908 database records and 80 supplementary records, 127 reports were sought for full-text review, and eight full-text-confirmed empirical studies in which older adults themselves reported perceptions of AI bias or discrimination were included; none was conducted in Korea and six used qualitative designs. Reporte d perceptions were synthesized into five themes: age-stereotyped responses and youth-centred design of voice ass istants and chatbots; concern that age-skewed training data would reduce reliability; under-representation intersecti ng with race and culture; judgements of neutrality and attribution of responsibility to developers; and emotional consequences of perceived bias (aging anxiety). No study statistically tested the relationship between literacy and bias perception among older adults. The review identifies an early-stage field lacking validated instruments and Korean empirical evidence, and proposes age-friendly AI design, critical AI literacy education, and institutionaliz ed contestation procedures as industrial and policy tasks.

Citation status

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