Regulating algorithmic governance: a legal vacuum in policy-making and public accountability

dc.contributor.authorAmeen, Sainulabtheen
dc.date.accessioned2025-05-19T07:38:53Z
dc.date.available2025-05-19T07:38:53Z
dc.date.issued2025-05-20
dc.description.abstractIn recent years, governments around the world have integrated algorithmic systems into core governance functions such as welfare eligibility, immigration control, predictive policing, and credit assessments. While these innovations promise efficiency and consistency, their unregulated deployment raises serious legal and ethical concerns. In countries with underdeveloped digital laws, especially across the Global South, this shift is occurring without sufficient legal frameworks to protect individual rights or ensure transparency in decisionmaking. This paper critically explores the legal vacuum surrounding algorithmic governance. It argues that these systems, often seen as objective tools, can in fact embed and amplify societal biases, disproportionately disadvantaging marginalized communities. Unlike human decision-makers, algorithms operate with limited transparency, making it difficult for affected individuals to understand, contest, or appeal decisions. The absence of explicit legal protections such as the right to explanation, access to due process, and algorithmic accountability raises fundamental questions about justice, fairness, and democratic oversight in digital public policy. To address this, the study employs a comparative legal analysis of selected jurisdictions including the European Union, United States, and India to examine how existing laws respond to the governance challenges posed by artificial intelligence. It explores concepts such as data justice, algorithmic transparency, and human oversight, identifying gaps and opportunities in current regulatory frameworks. The paper proposes a comprehensive legal framework to regulate algorithmic governance, grounded in constitutional principles and administrative justice. Key recommendations include establishing algorithmic review boards, mandating public audits of AI systems, and enforcing legal standards for fairness, explainability, and accountability. By intersecting legal theory with real-world digital policy, this research highlights the urgent need for legal safeguards that ensure technology serves all citizens equitably—not just the digitally privileged.en_US
dc.identifier.citationTwo-Day Multi–Disciplinary International Conference - Book of Abstracts on "Digital Inequality and Social Stratification" - 2025 (Hybride Mode), 20th-21th 2025. Postgraduate Unit, Faculty of Arts and Culture, South Eastern University of Sri Lanka. pp. 94.en_US
dc.identifier.isbn978-955-627-111-99
dc.identifier.urihttp://ir.lib.seu.ac.lk/handle/123456789/7418
dc.language.isoen_USen_US
dc.publisherPostgraduate Unit, Faculty of Arts and Culture, South Eastern University of Sri Lanka.en_US
dc.subjectAlgorithmic Decision-Makingen_US
dc.subjectLegal Regulationen_US
dc.subjectAI Accountabilityen_US
dc.subjectDigital Rightsen_US
dc.subjectAdministrative Lawen_US
dc.subjectTransparencyen_US
dc.subjectSocial Equityen_US
dc.subjectData Justiceen_US
dc.subjectTechnology and Lawen_US
dc.titleRegulating algorithmic governance: a legal vacuum in policy-making and public accountabilityen_US
dc.typeArticleen_US

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