The paper presents a roadmap that identifies four unsolved problems in ML safety: robustness against hazards, monitoring for hazards, alignment of model goals with human intent, and systemic safety.
Hidden Incentives for Auto-Induced Distributional Shift
2 Pith papers cite this work. Polarity classification is still indexing.
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Unsolved Problems in ML Safety
The paper presents a roadmap that identifies four unsolved problems in ML safety: robustness against hazards, monitoring for hazards, alignment of model goals with human intent, and systemic safety.
- Unbiased Canonical Set-Valued Oracles Via Lattice Theory