AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
It is argued that contemporary artificial intelligence is best understood as a symptom and accelerator of modern nihilism rather than as a neutral instrument or proto-subject because it allows values to persist as calculable effects rather than contested commitments, thereby insulating human agents from the burden of judgment.
It is argued that AI is the new hyper-driven moment of commodification and cycle of global inequalities, which creates inconsistencies that break down established value and authority regimes, laying the ground for contestation and possible other trajectories.
Contemporary AI systems are increasingly designed to reduce uncertainty, ambiguity, and cognitive burden. This article argues that such systems do not merely expand human capacities but progressively externalize forms of judgment and existential burden that Christian traditions have historically understood as necessary...
It is argued that anthropology requires a new conceptual framework for understanding the contemporary social life of artificial intelligence (AI), and "the magic of AI" is proposed as an analytical concept that shifts attention from AI's technical capacities to the beliefs, uncertainties, and sociotechnical imaginaries...
The paper formulates the Control Responsibility Principle (CRP), which shifts AI ethics from a focus on what systems know to a focus on how their behavior is governed, who holds authority over that governance, and how such authority is to be justified, distributed, and contested.
The rise of artificial intelligence has revived a fundamentally Cartesian question: what conditions must hold for something to count as genuinely thinking? This paper examines the relationship between cognitive delegation and the Cartesian cogito, arguing that contemporary AI systems challenge not the logical validity...
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.
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