Practical Judgment, Virtue, and Intuition in the Use of Opaque AI-Enabled Systems
AI-enabled systems are seeing increasing deployment across numerous domains, with many being "black boxes" with respect to core functions and capabilities. I.e., many systems take inputs and give outputs, but without users having any ability to see how the former lead to the latter. AI-enabled systems are also being used to augment autonomy in systems, and autonomy coupled with opacity raises numerous concerns surrounding, e.g., the reliability of systems, their regularity in functioning, human ability to control them, or whether deploying opaque and potentially autonomous systems is in compli
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 58%Teaching AI to run with the turbines →
- PossiblePossibly related (embedding) · 56%cnaebadi/ai-disclosure-handbook →
- PossiblePossibly related (embedding) · 54%changkun/wallfacer →
- PossiblePossibly related (embedding) · 53%Securing the future of AI agents →
- PossiblePossibly related (embedding) · 53%Helping build shared standards for advanced AI →
- LinkedLinked via arxiv author · 85%Nathan G. Wood →
“Practical Judgment, Virtue, and Intuition in the Use of Opaque AI-Enabled Systems”
- LinkedLinked via arxiv author · 85%Andrew P. Rebera →
“Practical Judgment, Virtue, and Intuition in the Use of Opaque AI-Enabled Systems”
- PossiblePossibly related (embedding) · 52%Physical AI: Physical operations are broken, a new kind of intelligence is needed →
