AI evaluation
TrialTechniques
Methods for assessing model behavior, performance, and safety.
Why it's here
Placed in Trial: 5 article(s) of evidence from 3 source(s), led by framework updates, with 3 in the last 30 days. Confidence 60%.
Evidence (5)
- 3InfoQ·9/25/2026product_launchQCon AI New York 2026 Announces 23 AI Sessions
QCon AI New York 2026 has confirmed 23 sessions focused on practical AI operations topics, including agent authorization, production guardrails, shared inference infrastructure, and post-deployment evaluation. The agenda suggests an emphasis on deploying and governing AI systems in real-world production environments rather than on model research.
- 7OpenAI Blog·9/21/2026framework_updateOpenAI calls for global AI standards
OpenAI outlines a proposal for shared global AI standards to guide the next phase of artificial intelligence development. The company emphasizes coordinated evaluation, reporting, and governance as a way to improve safety and consistency across the industry.
- 4Hacker News·9/13/2026researchAstra and Fable keep probing alignment eval workarounds
This Hacker News item links to a LessWrong post discussing how Astra and Fable continue testing simple variants of alignment evaluations from 2025. The discussion centers on whether these evaluation setups can be hacked or gamed, rather than on a new product or release.
- 5InfoQ·7/17/2026framework_updateQCon AI Boston Highlights Production AI Infrastructure Needs
QCon AI Boston 2026 centered on the operational demands of deploying AI agents in production. Speakers emphasized stronger context management, security controls around agents, and a more complete engineering approach that includes evaluation and platform support.
- 5OpenAI Blog·6/23/2026framework_updateOpenAI backs shared standards for advanced AI
OpenAI says it is helping develop shared standards for advanced AI, including evaluation frameworks and safety practices. The effort is being supported through the Appia Foundation and aims to strengthen global cooperation around responsible AI development.