Perspective on Using Artificial Intelligence in Alcohol Research and Treatment: Opportunities and Ethical Considerations.
PURPOSE: There is an urgent need for novel and innovative advancements in alcohol research and treatment. Artificial intelligence (AI) is one such advancement that demonstrates promise, though not without important ethical concerns. This Perspective article examines current applications, ethical con...
| Publicado en: | Alcohol Research: Current Reviews Vol. 45; no. 1; pp. 1 - 10 |
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| Autores principales: | , , , , |
| Formato: | review Journal Article |
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National Institute on Alcohol Abuse & Alcoholism
2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=190956558&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 190956558 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 21683492 FIOE jtl: Alcohol Research: Current Reviews issn: 21683492 maglogo: N pubinfo: dt: 2025 vid: 45 iid: 1 pid: 491 pub: National Institute on Alcohol Abuse & Alcoholism place: Rockville, Maryland artinfo: ui: 190956558 190956558 190956558 10.35946/arcr.v45.1.12 190956558 ppf: 1 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Perspective on Using Artificial Intelligence in Alcohol Research and Treatment: Opportunities and Ethical Considerations. aug: au: Moniz-Lewis, David I. K. Kirouac, Megan McCool, Matison W. Schwebel, Frank J. Witkiewitz, Katie affil: Department of Psychology, University of New Mexico, Albuquerque, New Mexico sug: subj: Artificial Intelligence Utilization Artificial Intelligence Ethical Issues Alcoholism Therapy Health Inequities Health Services Accessibility Compassion Data Security Consent Safety Natural Language Processing Machine Learning Data Analytics Alcoholism Mortality Peer Review ab: PURPOSE: There is an urgent need for novel and innovative advancements in alcohol research and treatment. Artificial intelligence (AI) is one such advancement that demonstrates promise, though not without important ethical concerns. This Perspective article examines current applications, ethical considerations, and future implications of integrating AI in alcohol research and treatment. SEARCH METHODS AND RESULTS: A nonsystematic narrative review of peer-reviewed, English-language studies of contemporary applications of AI (specifically, large language models and machine learning) in alcohol research and treatment was conducted in December 2024 through January 2025, using searches of the PubMed, Google Scholar, Web of Science, and PsycInfo databases. Search terms included the following: "alcohol," "alcohol use," "alcohol use disorder," "drinking," "treatment," "screening," "artificial intelligence," "chatbot," "large language models," "research subject recruitment," "research subject enrollment," "electronic health records," "support vector machine," "neural network," "black-box," "random forest," and "machine learning." The article highlights studies that discussed the role of AI in bolstering recruitment and retention for human subjects research and in the application of advanced data analytic techniques for alcohol research. Further, the article examines studies that described current and prospective uses of AI in alcohol use disorder treatment, including assessment and identification of individuals who may benefit from treatment, and as an adjunct to evidence-based treatments for alcohol use disorder. Potential ethical concerns are highlighted alongside potential considerations for the safe and ethical use of AI across these domains. CONCLUSIONS: Based on the identified primary and secondary sources, this review highlights the promises of AI in advancing both alcohol research and treatment, and how its successful implementation is supported by careful and ongoing attention to potential risks. The reviewed studies provide evidence that robust data security protocols, comprehensive informed consent, and ongoing monitoring for potential biases and harms can allow for these tools to advance scientific understanding while improving access to effective and equitable care. However, the current literature and the potential solutions suggested in this Perspective have limitations due to the pace of AI advancements that continue to accelerate at an unprecedent rate. FUTURE DIRECTIONS: Future research can advance the field by explicitly testing and evaluating the utility of these tools in real-world contexts, their risks for bias and privacy violations, and their ethical integration into alcohol research and treatment. pubtype: Academic Journal doctype: review Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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