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<PublisherName>theaimsjournal</PublisherName>
<JournalTitle>Allana Management Journal of Research, Pune</JournalTitle>
<PISSN> 2581 - 3137 (</PISSN>
<EISSN>) 2231 - 0290 (Print)</EISSN>
<Volume-Issue>Volume 15, Issue 1 </Volume-Issue>
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<IssueTopic>Multidisciplinary</IssueTopic>
<IssueLanguage>English</IssueLanguage>
<Season>January 2025 – June 2025</Season>
<SpecialIssue>N</SpecialIssue>
<SupplementaryIssue>N</SupplementaryIssue>
<IssueOA>Y</IssueOA>
<PubDate>
<Year>-0001</Year>
<Month>11</Month>
<Day>30</Day>
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<ArticleType>General Management</ArticleType>
<ArticleTitle>A Study of Future of Artificial Intelligence (AI) in Ethical Decision-Making in Research</ArticleTitle>
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<ArticleLanguage>English</ArticleLanguage>
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<FirstPage>16</FirstPage>
<LastPage>26</LastPage>
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<Author>
<FirstName/>
<LastName>Shaikh</LastName>
<AuthorLanguage>English</AuthorLanguage>
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<CorrespondingAuthor>N</CorrespondingAuthor>
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<DOI>https://doi.org/10.62223/AMJR.2025.150102 </DOI>
<Abstract>Artificial Intelligence (AI) is increasingly embedded in scientific research, transforming data analysis, automation, and decision-making. As its presence expands, AI is also intersecting with research ethics, prompting critical reflections on accountability, transparency, and fairness.
Purpose: This study investigates the emerging role of AI in ethical decision-making within scientific research. It aims to explore how AI-driven tools can assist researchers, institutions, and policymakers in upholding ethical standards amidst growing research complexity.
Design/Methodology/Approach: The paper adopts a conceptual and analytical approach, reviewing current and emerging AI technologies__ampersandsignmdash;such as ethical review systems, decision-support frameworks, and predictive models. It draws from literature and illustrative case discussions to assess ethical applications and challenges.
Findings: AI shows promise in enhancing ethical governance by increasing consistency, transparency, and efficiency. However, concerns around algorithmic bias, interpretability, and accountability persist. The study advocates for a balanced AI-human collaboration to ensure responsible and adaptable ethical decision-making.
Research Limitations/Implications: This is a conceptual study without empirical validation. Future research should evaluate AI-based ethical tools in real-world settings to understand their effectiveness and ethical soundness across diverse disciplines.
Practical Implications: AI can support ethical review processes, assist decision-makers, and encourage proactive compliance. Such tools offer scalable solutions for managing ethics in complex or high-volume research environments.
Originality/Value: The paper presents a novel perspective on integrating AI into research ethics. It highlights AI__ampersandsignrsquo;s dual potential__ampersandsignmdash;as a tool for ethical enhancement and a source of new ethical risks__ampersandsignmdash;calling for transparent, accountable, and human-centered frameworks</Abstract>
<AbstractLanguage>English</AbstractLanguage>
<Keywords>AI-Driven, Automation, Accountability Research Ethics Transparency</Keywords>
<URLs>
<Abstract>https://www.theaimsjournal.org/ubijournal-v1copy/journals/abstract.php?article_id=15863&title=A Study of Future of Artificial Intelligence (AI) in Ethical Decision-Making in Research</Abstract>
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<References>
<ReferencesarticleTitle>References</ReferencesarticleTitle>
<ReferencesfirstPage>16</ReferencesfirstPage>
<ReferenceslastPage>19</ReferenceslastPage>
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