دورية أكاديمية
Impact of Responsible AI on the Occurrence and Resolution of Ethical Issues: Protocol for a Scoping Review.
العنوان: | Impact of Responsible AI on the Occurrence and Resolution of Ethical Issues: Protocol for a Scoping Review. |
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المؤلفون: | Boege S; Centre for Health Technology, School of Nursing and Midwifery, University of Plymouth, Plymouth, United Kingdom.; Translational and Clinical Research Institute, Newcastle University, Newcastle-upon-Tyne, United Kingdom., Milne-Ives M; Centre for Health Technology, School of Nursing and Midwifery, University of Plymouth, Plymouth, United Kingdom.; Translational and Clinical Research Institute, Newcastle University, Newcastle-upon-Tyne, United Kingdom., Meinert E; Centre for Health Technology, School of Nursing and Midwifery, University of Plymouth, Plymouth, United Kingdom.; Translational and Clinical Research Institute, Newcastle University, Newcastle-upon-Tyne, United Kingdom.; Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom.; Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom. |
المصدر: | JMIR research protocols [JMIR Res Protoc] 2024 Jun 05; Vol. 13, pp. e52349. Date of Electronic Publication: 2024 Jun 05. |
نوع المنشور: | Journal Article; Review |
اللغة: | English |
بيانات الدورية: | Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101599504 Publication Model: Electronic Cited Medium: Internet ISSN: 1929-0748 (Electronic) Linking ISSN: 19290748 NLM ISO Abbreviation: JMIR Res Protoc Subsets: MEDLINE |
أسماء مطبوعة: | Original Publication: Toronto : JMIR Publications |
مواضيع طبية MeSH: | Artificial Intelligence*/ethics, Humans ; Social Responsibility |
مستخلص: | Background: Responsible artificial intelligence (RAI) emphasizes the use of ethical frameworks implementing accountability, responsibility, and transparency to address concerns in the deployment and use of artificial intelligence (AI) technologies, including privacy, autonomy, self-determination, bias, and transparency. Standards are under development to guide the support and implementation of AI given these considerations. Objective: The purpose of this review is to provide an overview of current research evidence and knowledge gaps regarding the implementation of RAI principles and the occurrence and resolution of ethical issues within AI systems. Methods: A scoping review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines was proposed. PubMed, ERIC, Scopus, IEEE Xplore, EBSCO, Web of Science, ACM Digital Library, and ProQuest (Arts and Humanities) will be systematically searched for articles published since 2013 that examine RAI principles and ethical concerns within AI. Eligibility assessment will be conducted independently and coded data will be analyzed along themes and stratified across discipline-specific literature. Results: The results will be included in the full scoping review, which is expected to start in June 2024 and completed for the submission of publication by the end of 2024. Conclusions: This scoping review will summarize the state of evidence and provide an overview of its impact, as well as strengths, weaknesses, and gaps in research implementing RAI principles. The review may also reveal discipline-specific concerns, priorities, and proposed solutions to the concerns. It will thereby identify priority areas that should be the focus of future regulatory options available, connecting theoretical aspects of ethical requirements for principles with practical solutions. International Registered Report Identifier (irrid): PRR1-10.2196/52349. (©Selina Boege, Madison Milne-Ives, Edward Meinert. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 05.06.2024.) |
References: | Work. 2010;35(3):399-404. (PMID: 20364059) N Engl J Med. 2023 Mar 30;388(13):1201-1208. (PMID: 36988595) Patterns (N Y). 2021 Sep 10;2(9):100314. (PMID: 34553166) Entropy (Basel). 2020 Dec 25;23(1):. (PMID: 33375658) Minds Mach (Dordr). 2018;28(4):689-707. (PMID: 30930541) |
فهرسة مساهمة: | Keywords: AI; RAI; XAI; artificial intelligence; digital ethics; ethical artificial intelligence; explainable artificial intelligence; responsible artificial intelligence; trustworthy artificial intelligence |
تواريخ الأحداث: | Date Created: 20240605 Date Completed: 20240605 Latest Revision: 20240622 |
رمز التحديث: | 20240622 |
مُعرف محوري في PubMed: | PMC11187507 |
DOI: | 10.2196/52349 |
PMID: | 38838329 |
قاعدة البيانات: | MEDLINE |
تدمد: | 1929-0748 |
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DOI: | 10.2196/52349 |