Ethical challenges in the use of digital technologies in psychological science: Introduction to the special issue.

Light, Leah L.; Panicker, Sangeeta; Abrams, Lise; Huh-Yoo, Jina

doi:10.1037/amp0001286

American Psychologist

2024

DOI: 10.1037/amp0001286

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Ethical challenges in the use of digital technologies in psychological science: Introduction to the special issue.

Leah L. Light,

Sangeeta Panicker,

Lise Abrams

et al.

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Cited by 5 publications

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Using technologies to evaluate response style in the competency crisis recommendations for evaluators

Danzer

2024

The Journal of Forensic Psychiatry & Psychology

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Using technologies to evaluate response style in the competency crisis recommendations for evaluators

Danzer

2024

The Journal of Forensic Psychiatry & Psychology

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Are Virtual Assistants Trustworthy for Medicare Information: An Examination of Accuracy and Reliability

Langston,

Charness,

Boot

2024

The Gerontologist

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Background and Objectives Advances in AI-based virtual assistants provide a potential opportunity for older adults to use this technology in the context of health information-seeking. Meta-analysis on trust in AI shows that users are influenced by the accuracy and reliability of the AI trustee. We evaluated these dimensions for responses to Medicare queries. Research Design and Methods During the summer of 2023, we assessed the accuracy and reliability of, Alexa, Google Assistant, Bard, and ChatGPT-4, on Medicare terminology and general content from a large, standardized question set. We compared the accuracy of these AI systems to that of a large representative sample of Medicare beneficiaries who were queried twenty years prior. Results Alexa and Google Assistant were found to be highly inaccurate when compared to beneficiaries’ mean accuracy of 68.4% on terminology queries and 53.0% on general Medicare content. Bard and ChatGPT-4 answered Medicare terminology queries perfectly and performed much better on general Medicare content queries (Bard = 96.3%, ChatGPT-4 = 92.6%) than the average Medicare beneficiary. About one month to a month-and-a-half later, we found that Bard and Alexa’s accuracy stayed the same, while ChatGPT-4’s performance nominally decreased, and Google Assistant’s performance nominally increased. Discussion and Implications LLM-based assistants generate trustworthy information in response to carefully phrased queries about Medicare, in contrast to Alexa and Google Assistant. Further studies will need to determine what factors beyond accuracy and reliability influence the adoption and use of such technology for Medicare decision-making.

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Digital therapeutics and behavioral chronic pain management: closing the gap between innovation and effective use

Eccleston,

Fisher,

Keefe

et al. 2024

Pain

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Ethical challenges in the use of digital technologies in psychological science: Introduction to the special issue.

Cited by 5 publications

References 23 publications

Using technologies to evaluate response style in the competency crisis recommendations for evaluators

Using technologies to evaluate response style in the competency crisis recommendations for evaluators

Are Virtual Assistants Trustworthy for Medicare Information: An Examination of Accuracy and Reliability

Digital therapeutics and behavioral chronic pain management: closing the gap between innovation and effective use

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