Human Dignity, Ethical Values and Responsible AI in a Changing World

Abstract

Artificial intelligence mediates more and more decisions that used to rest on human judgment: who gets a loan, who gets an application to a recruiter, who gets priority for care as a patient. This type of delegation provokes an unresolvable question that technical benchmarks alone cannot answer, what happens to human dignity when individuals become data points within a computational system? This paper explores the conceptual connections between human dignity, ethical values, and responsible AI in a time of acceleration of technological and institutional change. Much of the scholarly literature on dignity approaches it either as a legal-constitutional standard or as an abstract philosophical commitment but fails to link it either to the practical realities of AI design, deployment, and governance. The present study is framed on that disjunction. Using a qualitative, conceptual and thematic conceptualization based on a systematic reading of the chosen scholarly literature, the analysis develops seven interconnected themes: dignity as ethical foundation; human-centred values; accountability and transparency; algorithmic bias and social justice; privacy and autonomy; meaningful human oversight; and an integrated dignity-centred framework. The analysis indicates that dignity is not just an additional principle to the existing four; it is the ground upon which the four converge and find coherence together. However, that efficiency-driven deployment, which is dislocated from that ground, reproduces structural inequality through diffusing responsibility across actors. Such normative anchoring in dignity and not merely procedural compliance is a necessary condition for responsible AI governance.