ArticleJournal of evaluation in clinical practice2025
Artificial General Intelligence and Its Threat to Public Health.
Article in Journal of evaluation in clinical practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Superintelligence: A Crucial Juncture in the Development of Healthcare Sciences and Public Health.International journal of environmental research and public health · 2026Article
- Article
- Artificial General Intelligence and Its Threat to Public Health.Journal of evaluation in clinical practice · 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
1 author.
Funding
Abstract
backgroundArtificial intelligence (AI) is increasingly applied across healthcare and public health, with evidence of benefits including enhanced diagnostics, predictive modelling, operational efficiency, medical education, and disease surveillance.However, potential harms - such as algorithmic bias, unsafe recommendations, misinformation, privacy risks, and sycophantic reinforcement - pose challenges to safe implementation.Far less attention has been directed to the public health threats posed by artificial general intelligence (AGI), a hypothetical form of AI with human-level or greater cognitive capacities.
objectiveThis article explores the benefits and harms of current AI systems, introduces AGI and its distinguishing features, and examines the threats AGI could pose to public health and humanity's survival. DISCUSSION: Unlike 'narrow' AI, AGI could autonomously learn, generalise across domains, and self-improve, potentially achieving superintelligence with unpredictable behaviours.AGI threatens public health through two broad categories: (1) misuse, where adversaries deploy AGI for cyberattacks, disinformation campaigns, or to develop chemical, biological, radiological, and nuclear (CBRN) weapons; and (2) misalignment, where poorly aligned AGI pursues goals in harmful ways, leading to loss of human control, erosion of autonomy, and potentially existential risk.The population-level consequences include widespread unemployment, reduced trust in health systems, catastrophic biological threats, and risks to human survival.
conclusionHealthcare and public health professionals have a critical role in framing AGI risks as health threats, building coalitions akin to historic movements against nuclear war, and collaborating with AI researchers, ethicists, and policymakers.Leveraging their expertise, trust, and global networks, these professionals can help ensure that AI development prioritises human wellbeing and safeguards humanity's future.
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Identifiers
What OpenQuestion holds
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.