Evidence map›Paper›PMID 42873402›Full record

ArticleJournal of bioethical inquiry2026

Youth as Underrepresented Stakeholders in AI-Mediated Health Environments: A Bioethical Analysis of Regulatory Gaps.

Molly M Serena Gomes, Acadia W Buro

Abstract read
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In one paragraph

Article in Journal of bioethical inquiry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Molly M Serena GomesBuchanan Ingersoll & Rooney PC, 640 5th Ave 9th Floor, New York, NY, 10019, USA.
Acadia W BuroCollege of Population Health, University of New Mexico Health Sciences Center, 1 University of New Mexico, Albuquerque, NM, 87131, USA. aburo@salud.unm.edu.ORCID http://orcid.org/0000-0001-9639-4240

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of artificial intelligence (AI) into digital media and health information ecosystems-including large language model chatbots, AI-enabled mHealth applications, and algorithmically curated social media-is reshaping how adolescents encounter and interpret health-related content. While regulatory debates emphasize innovation and efficiency, insufficient attention has been paid to youth as stakeholders whose interests and perspectives are rarely represented in AI governance. This article offers a bioethical analysis of federal and state regulatory approaches to AI in the United States, arguing that frameworks insufficiently address adolescents' developmental interests and exposure to algorithmic risk. Adolescents navigate digital health ecosystems shaped by algorithmic curation and inconsistent credibility signals yet have little voice in governance decisions shaping these environments. Drawing on bioethical principles, including respect for developing autonomy, distributive justice, and nonmaleficence, this analysis demonstrates how disclosure-based models place interpretive burdens on users while carrying developmental stakes for adolescents, and how vulnerability emerges relationally from interactions among developmental, technological, and social factors rather than from deficits within young people. These limitations are compounded by gaps in transparency and accountability across AI-generated and commercially influenced health content. Addressing these challenges requires developmentally responsive, equity-oriented governance, including youth-specific AI impact assessments and mechanisms for youth participation.

Indexed as

AdolescentsAlgorithmic governanceArtificial intelligenceBioethicsHealth misinformationHealth policy

Identifiers

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.