ArticleDigital society : ethics, socio-legal and governance of digital technology2023
Responsibility Gaps and Black Box Healthcare AI: Shared Responsibilization as a Solution.
Article in Digital society : ethics, socio-legal and governance of digital technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
23 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Patient Concerns Regarding Artificial Intelligence Applications in Health Care: Systematic Review and Meta-Synthesis Based on Social Ecological Theory.Journal of medical Internet research · 2026Pooled it
- Ethical challenges in the algorithmic era: a systematic rapid review of risk insights and governance pathways for nursing predictive analytics and early warning systems.BMC medical ethics · 2025Pooled it
- From Assistance to Autonomy: Acceptability of Progressive Artificial Intelligence Integration in Facial Reconstructive Surgery-Protocol for Within-Subjects Vignette Experiment Among Romanian Adults.Healthcare (Basel, Switzerland) · 2026Article
- Decision Ownership and Deference to Healthcare AI.Journal of bioethical inquiry · 2026Article
- Moral diversity and the challenge of responsibility in AI-CDSS.Philosophy, ethics, and humanities in medicine : PEHM · 2026Article
- Personal Health Large Language Models and the Negotiation of Medical Authority in Clinical Care: Opportunities, Risks, and Governance.Journal of medical Internet research · 2026Article
- Beyond Algorithmic Oversight: Internal Morality of Medicine and Meaningful Human Control in AI-Assisted Care.Healthcare (Basel, Switzerland) · 2026Article
- Governing Generative AI in Healthcare: A Normative Conceptual Framework for Epistemic Authority, Trust, and the Architecture of Responsibility.Healthcare (Basel, Switzerland) · 2026Article
- AI-driven transformation in forensic medicine education: applications, pedagogical shifts, and future challenges.Frontiers in medicine · 2026Review
- Artificial intelligence in kidney transplantation: a 30-year bibliometric analysis of research trends, innovations, and future directions.Renal failure · 2025Review
- The Expanding Role of Artificial Intelligence in Dentistry: A Cross-Specialty Chairside Perspective.Cureus · 2025Review
- Big Data, Machine Learning, and Personalization in Health Systems: Ethical Issues and Emerging Trade-Offs.Science and engineering ethics · 2025Article
- The Right to Explanation in AI: In a Lonely Place.Journal of medical Internet research · 2025Article
- Chat GPT Performance in Multi-Disciplinary Boards-Should AI Be a Member of Cancer Boards?Healthcare (Basel, Switzerland) · 2025Article
- It Is Not About AI, It's About Humans. Responsibility Gaps and Medical AI.Journal of bioethical inquiry · 2025Article
- Use of Artificial Intelligence in Psychiatric Research and Practice: A Qualitative Interview Study with Experts from Psychiatry, Computer Science and Philosophy in Germany.European psychiatry : the journal of the Association of European Psychiatrists · 2025Article
- Ethical Considerations for Generative Artificial Intelligence in Plastic Surgery.Plastic and reconstructive surgery. Global open · 2025Article
- An ecosystem approach to governing commercial actors in healthcare AI.Policy studies (Policy Studies Institute) · 2025Article
- The impact of digital health technologies on moral responsibility: a scoping review.Medicine, health care, and philosophy · 2025Article
- Patient Consent and The Right to Notice and Explanation of AI Systems Used in Health Care.The American journal of bioethics : AJOB · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
As sophisticated artificial intelligence software becomes more ubiquitously and more intimately integrated within domains of traditionally human endeavor, many are raising questions over how responsibility (be it moral, legal, or causal) can be understood for an AI's actions or influence on an outcome. So called "responsibility gaps" occur whenever there exists an apparent chasm in the ordinary attribution of moral blame or responsibility when an AI automates physical or cognitive labor otherwise performed by human beings and commits an error. Healthcare administration is an industry ripe for responsibility gaps produced by these kinds of AI. The moral stakes of healthcare are often life and death, and the demand for reducing clinical uncertainty while standardizing care incentivizes the development and integration of AI diagnosticians and prognosticators. In this paper, we argue that (1) responsibility gaps
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Registered trials
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.