Unexplainability of Artificial Intelligence Judgments and Functional Implementation in Kant's Perspective
arXiv:2407.18950v5 Announce Type: replace Abstract: Kant's Critique of Pure Reason, a major contribution to the history of epistemology, proposes a table of categories to elucidate the structure of the a priori principles underlying human judgment. Artificial intelligence (AI) technology claims to simulate or replicate human judgment. To evaluate this claim, it is necessary to examine whether AI judgments exhibit the essential characteristics of human judgment. This paper investigates the unexplainability of AI judgments through the lens of Kant's theory of judgment. Drawing on Kant's four log
The proliferation of complex AI systems necessitates deeper philosophical inquiry into their operational principles and ethical implications, especially as AI permeates critical decision-making domains.
This paper contributes to the essential discourse on the nature of AI judgment, questioning its equivalence to human cognition and highlighting fundamental limitations that could impact AI integration into society.
The understanding of AI's 'judgment' shifts from mere simulation to a recognition of its inherent unexplainability, potentially influencing future regulatory frameworks and public expectations of AI.
- · Philosophy departments
- · Ethical AI researchers
- · AI governance bodies
- · AI developers promising full human-like judgments
- · Uncritical adoption of AI in sensitive areas
Increased scrutiny on the transparency and interpretability of AI systems within high-stakes applications.
Potential demand for hybrid human-AI decision-making frameworks where human oversight is mandated for AI-driven 'judgments'.
Long-term societal re-evaluation of the role of intuition and consciousness, distinguishing it fundamentally from algorithmic complexity.
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