The Gradient of Generative AI Release¶
Solaiman, I. (2023). The Gradient of Generative AI Release: Methods and Considerations. Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (FAccT), 111-122.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Sandboxing
- AI evaluation harnesses borrow drug-trial design — phases, stopping rules, dose-finding — to structure bounded exposure with intensive observation and pre-registered graduation criteria.
This sourceFrames staged, bounded release of AI systems with intensive observation between stages, paralleling phased clinical-trial structure.
- AI evaluation harnesses borrow drug-trial design — phases, stopping rules, dose-finding — to structure bounded exposure with intensive observation and pre-registered graduation criteria.
Verification¶
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Does it back the claim? Not recorded. The single citation of this work carries no recorded support check.
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Registry ID ref:e63333047bb6 · see in the full table