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Embedding Human Oversight in Semi-Automated Decision Structures for Critical Applications
Ajay Kumar Suwalka, Nirmal Singh*, Awanit Kumar
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Abstract: With more and more computer-based systems used in sectors like medicine, banking, defense, and the judiciary, it becomes clear that it is very important to have continued human participation. This article explores the content, benefits and drawbacks of decision systems which maintain a clear role for human judgment particularly in high-stakes outcomes. Through examples based on concrete system implementations and by introducing a modularized model of the system, we demonstrate how blending human oversight with automated recommendations increases accountability, reduces operational errors, and gives voice to ethical responsibility. Focus Items: Iterative feedback, trust optimization and role clarity in the decision-making lifecycle. This work offers a framework to abstract the structured oversight of humans within core decision workflows associated with critical decisions and is meant to inform work in operational efficiency and governance.
Keywords: Automated decision-making, human supervision, Accountability, Ethical responsibility, Trust optimization, Iterative feedback
Keywords: Automated decision-making, human supervision, Accountability, Ethical responsibility, Trust optimization, Iterative feedback
How to Cite:
[1] Ajay Kumar Suwalka, Nirmal Singh*, Awanit Kumar, βEmbedding Human Oversight in Semi-Automated Decision Structures for Critical Applications,β International Multidisciplinary Research Journal Reviews (IMRJR) (IMRJR), DOI: 10.17148/IMRJR.2026.030109
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