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@article{191853,
        author = {Manikanta R and Dr Vijayakumar},
        title = {From Algorithms to Judgment: How AI Assisted HR Decisions Are Reshaping Trust, Fairness, and Human Agency at Work},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {8105-8121},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191853},
        abstract = {The adoption of Artificial Intelligence (AI) into the Human Resource (HR) industries is changing the way organizations make decisions on people, whether in recruitment and performance appraisal to planning of the workforce. In this paper, we discuss the changing relationship between algorithmic recommendations and human judgment with respect to three real outcomes including trust, fairness, and human agency. Based on a comprehensive overview of scholarly research articles, policymaking reports, and classic works in organizational theory and ethics, the paper creates a human-in-the-loop conceptual model mapping where AI outputs collide with managerial discretion and staff views. The discussion points to the ways AI contributes to enhancing consistency and operational efficiency and increases the probability of creating risks of opacity, algorithmic bias, and displacement of human responsibility. The most important themes to be investigated are how trust in algorithmic systems is established or broken (explainability, perceived intent, and transparency), the roots and forms of bias in HR algorithms, and the practice of tensions that have emerged when managers cannot exercise their autonomy when guided on decisions by automated recommendations. The paper will end with effective suggestions on how to implement design governance, fairness audit, and policy protections that would not harm human judgment and accountability. This study can be viewed as both theoretical and practical because the author uses the concept of AI as a socio-technical intervention, as opposed to an absolute technical (i.e. technical) solution) by organizations that want to implement AI in HR responsibly.},
        keywords = {Algorithmic decision-making; Human-in-the-loop systems; Organizational trust; Algorithmic fairness; Managerial autonomy; Ethical AI.},
        month = {January},
        }