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.

Type

Conference paper

Intellectual base

Primary research

Year

2023

DOI

10.1145/3593013.3593981

Link

https://doi.org/10.1145/3593013.3593981

Cited from

computer_science

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.

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Registry ID ref:e63333047bb6 · see in the full table