TL;DR
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 the predictive potential of available technology.
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.
This study argues that AI embodies a calculative mode of thought that reduces knowledge to data, patterns, and predictive models, treating both the world and human subjects as resources for optimization, and proposes Heideggerian meditative thinking (Gelassenheit) as a framework for preserving human insight, reflection...
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.
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.
The concept of “alienated intelligence” is introduced to critically examine contemporary cultural perceptions of artificial intelligence to argue that certain visions of AI function as cultural projections of human cognitive capacities that become externalized, idealized, and reified in technological systems.
The article argues that many contemporary AI alignment practices risk a mistaken assimilation of moral agency to statistical learning. Techniques such as reinforcement learning from human feedback and constitutional AI often treat morality as a behavioral function that can be approximated from human discourse, behavior...
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