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<Article>
<Journal>
				<PublisherName>Imam Sadiq University</PublisherName>
				<JournalTitle>Religion, Management, &amp; Governance</JournalTitle>
				<Issn>3115-7718</Issn>
				<Volume>4</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2025</Year>
					<Month>12</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>From Algocracy to Ethical Stewardship: Islamic Ethics and the Moral Reconstruction of Algorithmic Governance</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>267</FirstPage>
			<LastPage>284</LastPage>
			<ELocationID EIdType="pii">77998</ELocationID>
			
<ELocationID EIdType="doi">10.30497/rmg.2025.249325.1047</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Reza</FirstName>
					<LastName>Payandeh</LastName>
<Affiliation>Assistant Professor, Innovation &amp; Sustainability Governance, Faculty of Governance, College of Management, University of Tehran, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-9515-5587</Identifier>

</Author>
<Author>
					<FirstName>Alireza</FirstName>
					<LastName>Zeini</LastName>
<Affiliation>MSc Student, Innovation &amp; Sustainability Governance, Faculty of Governance, College of Management, University of Tehran, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0009-0003-2965-1384</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>09</Month>
					<Day>14</Day>
				</PubDate>
			</History>
		<Abstract>Purpose:&lt;br /&gt;The rapid diffusion of algorithmic systems into public decision-making has fundamentally reshaped governance by reallocating moral and cognitive authority from human agents to automated systems. While algorithmic governance promises efficiency and neutrality, it simultaneously generates profound ethical concerns related to legitimacy, justice, accountability, and human responsibility. This study aims to reconstruct the ethical foundations of algorithmic governance through the lens of Islamic ethical philosophy.&lt;br /&gt;&lt;br /&gt;Methodology:&lt;br /&gt;The research employs a qualitative content analysis of primary Islamic sources, including selected Quranic verses and hadiths. Through systematic coding and thematic interpretation, core ethical principles relevant to governance and decision-making are extracted and analytically mapped onto contemporary challenges of algorithmic governance.&lt;br /&gt;&lt;br /&gt;Findings:&lt;br /&gt;The analysis identifies nine interrelated ethical principles—autonomy, dignity, justice, trust, honesty, caution, commitment, benevolence, and non-invasiveness—that together constitute a coherent moral framework for guiding algorithmic decision-making. These principles emphasize human moral agency, responsibility, and restraint, challenging purely technocratic or efficiency-driven models of governance.&lt;br /&gt;&lt;br /&gt;Contribution:&lt;br /&gt;The study demonstrates that Islamic ethics provides both a transcendental normative foundation and an applied moral logic capable of addressing ethical deficits in algorithmic governance. By conceptualizing algorithms as instruments of moral agency rather than substitutes for it, the article advances the notion of ethical stewardship as a corrective governance paradigm.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Algorithmic governance</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Islamic Ethics</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Ethical stewardship</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Moral legitimacy</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Artificial intelligence</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Accountability</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://rmg.isu.ac.ir/article_77998_2b0360f17a518c0d5f75c7162f5e47b1.pdf</ArchiveCopySource>
</Article>
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