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@article{183662,
        author = {Dr. Jesmin Banu Khan and Md Rishad Khan and Sudipta Biswas},
        title = {Justice in the Age of Algorithms: Ethical and Legal Frameworks for AI in Judicial Decision-Making},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {3},
        pages = {2382-2385},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=183662},
        abstract = {This paper examines the ethical and legal dimensions of integrating artificial intelligence (AI) systems into judicial decision-making, focusing on ensuring fairness, accountability, transparency, and due process. 
Methods: The researchers conducted a multi-method study comprising 
(1) a systematic review of literature on AI in judicial contexts, 
(2) legal-normative analysis of existing frameworks across jurisdictions, and 
(3) a qualitative stakeholder survey of judges, legal scholars, and technologists. 
Results: The literature reveals concerns over algorithmic bias, opacity (“black-box” systems), and erosion of judicial discretion. Legal analyses highlight uneven regulatory approaches, with some jurisdictions adopting algorithmic-impact assessments and others lagging. Survey respondents emphasized the need for transparency mandates, human-in-the-loop oversight, and rights to explanation. 
Conclusions: While AI can augment judicial efficiency, without robust ethical and legal safeguards, it risks undermining the legitimacy of courts. The researchers proposes a principled framework combining (a) bias audits, (b) mandated explainability, (c) accountability measures, and (d) regulatory oversight. Future research should pilot these safeguards in real-world tribunals and evaluate their impact on fairness and public trust.},
        keywords = {Artificial Intelligence, Algorithmic Justice, Explainability, Judicial Decision-Making, Legal Ethics.},
        month = {March},
        }