The Stoic concept of the hegemonikon—the capacity for assent that directs the mind—is used as a framework for understanding intellectual creation and decision-making, clarifying when AI supports human judgment and when it replaces decision-making authority.
Abstract
The central ethical problem raised by artificial intelligence is not whether AI systems can "reason" in a functional sense, but whether their use preserves a centre of judgment that can be held responsible. Beginning with large language models, it distinguishes linguistic fluency from scientific validity, ethical commitment, and accountability. Enter the Stoic concept of the hegemonikon—the capacity for assent that directs the mind—as a framework for understanding intellectual creation and decision-making. This framework is extended by analogy to institutions, clarifying when AI supports human judgment and when it replaces decision-making authority. The argument is applied to various fields and leads to five principles for the ethical use of AI: disclosure, attribution, critical engagement with AI outputs, meaningful human oversight, and augmentation rather than replacement. Responsible AI governance requires institutions to preserve decision-making structures that are identifiable, open to challenge and revision, and subject to accountability.
In order to live well in an AI-based society, designing technically ethical systems, in the spirit of consequentialism, is not enough; rather, it is essential to cultivate citizens who, as AI users, are endowed with virtues and, first and foremost, the virtue of prudence.
Josep Del-Hierro-Dies, J. Sánchez-Cañizares· Scientia et Fides· 0 citations
It is concluded that originality, authorship, integrity, fairness, and transparency are interdependent concerns rather than separate issues, and that responsible AI use is best understood as a disciplined, disclosed collaboration with a non-author tool.
K. A. Badaru· Interdisciplinary Journal of...· 0 citations
An ethics of non-agentive AI is sketched: the authors should see these systems as powerful, instrument-like extensions of human cognition, not as knowers in their own right, and design institutions, interfaces and norms of trust accordingly.
Neumann Saskia Janina· Digital Society· 0 citations
This chapter offers a conceptual and philosophical analysis of the ontological, epistemological, and ethical issues associated with the design, development, and use of Agentic AI in moral and legal decision-making, and distinguishes between two levels of AI autonomy.
A. Gounaris, G. Kosteletos· Applied Informatics· 0 citations
The central thesis is that AI, by processing vast “Data Lakes,” generates a “hyper-vision” that makes previously unattainable patterns visible, dramatically expanding the domain of what is “reasonably predictable” and creates AI-Augmented Consequentialism, where the agent's moral duty comes to include consideration of...
Marcus Gansauskas Bruzzo· AI and Ethics· 0 citations
Since the start of the
COVID
‐19 pandemic, many countries have been using artificial intelligence (
AI
) to replace civil service personnel. We argue that this practice undermines core democratic values. Using the public values framework, we identify four clusters of values that are threatened when bureaucratic...
L. Anastasopoulos· PAR. Public Administration R...· 0 citations
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