Evidence map›Paper›PMID 40557933›Full record

ArticleThe Hastings Center report

The Fundamental Fallacy of "Empathic AI".

Karola Kreitmair

Abstract read
In one paragraph

Article in The Hastings Center report. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Karola Kreitmair

Funding

Almuni Programme of the Freiburg Institute for Advanced Studies
6 · The paper itself

Abstract

"Empathic AI" is being adopted in clinics as a means of offloading some of the work of clinician-patient encounters. Indeed, a recent study reported that generative large language models such as GPT4 were perceived as being more empathetic than human physicians. I argue that encounters between AI chatbots and patients lack an essential feature of good clinical encounters-recognition. More fundamental than empathy, Hegelian recognition is a precondition for features such as honesty and respect for autonomy that are central tenets of medical ethics. I argue that patients have a justified expectation of mutual recognition in a clinical encounter and that, given specific limitations of AI chatbots, this justified expectation cannot be met by them. Problematically, however, AI chatbots are designed to mimic human expressions of recognition, resulting in an alienating absurdity at the heart of "empathic AI." This fundamental incoherence is not merely a philosophical curiosity; it is an issue that must be directly addressed if AI chatbots are to take on roles in clinical encounters.

Indexed as

Artificial IntelligenceEmpathyPhysician-Patient RelationsHumansartificial intelligencebioethicschatbotsempathypatient‐clinician relationshiprecognition

Identifiers

PMID40557933
PMCPMC12817017

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.