American Journal of Advanced Multidisciplinary Innovation and Research

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Value-Sensitive Automation for Balancing Efficiency and Human Dignity

Author(s) Dr. Amelia Hoffman
Country United States
Abstract Automation can improve organizational productivity by reducing repetitive work, accelerating information processing, standardizing routine procedures, and supporting more consistent allocation of computational resources. Nevertheless, efficiency-centered automation can also alter human autonomy, occupational discretion, interpersonal recognition, privacy, procedural fairness, and opportunities to challenge consequential decisions. These concerns are particularly significant when automated systems allocate work, assess performance, screen applications, prioritize service recipients, monitor behavior, recommend institutional actions, or mediate access to essential services. International AI-governance frameworks increasingly recognize that technological efficiency should remain compatible with human rights, human dignity, autonomy, fairness, accountability, and human-centered values. UNESCO places human dignity at the core of its Recommendation on the Ethics of Artificial Intelligence, while the OECD AI Principles explicitly include dignity and individual autonomy among the values AI actors should respect throughout the system lifecycle. This study develops a Value-Sensitive Dignity-Preserving Automation Framework (VSDAF) that integrates Value Sensitive Design, meaningful human control, procedural fairness, worker and user agency, contestability, proportional monitoring, and socio-technical risk governance.
Because no verified organizational deployment dataset was provided, the study adopts an explicitly simulation-based methodological design. Four hypothetical automation configurations are evaluated across operational efficiency, autonomy preservation, dignity protection, procedural fairness, contestability, and meaningful human oversight. The simulated Efficiency–Dignity Balance Index rises from 43 for efficiency-first automation to 92 for dignity-preserving adaptive automation. The study argues that human dignity should not be positioned as an external constraint imposed after optimization. Instead, dignity-related values should influence decisions concerning what is automated, which data are collected, how humans participate, what decisions remain contestable, and how efficiency benefits are distributed. The proposed approach supports automation that removes unnecessary burdens while preserving human judgment, agency, recognition, and accountability.
Keywords value-sensitive automation, human dignity, human-centered AI, meaningful human control, algorithmic management, automation ethics, procedural fairness, responsible AI
Field Engineering
Published In Volume 3, Issue 2, March-April 2022
Published On 2022-04-30
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