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AI Evaluation Should Work With Humans

BACKGROUND

1 SIGNALFIRST DETECTED 17 August 2026

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How the story developed

17 Aug

AI Evaluation Should Work With Humans

REPORT · WHAT · ArXiv CS.AI

Other feeds and industry voices

9 Sept

Beyond "AI Helps Humans": Decision-Targeted Evaluation Design for Human-Agent Teams in the Agentic Era

arXiv:2609.05527v1 Announce Type: new Abstract: Wherever a coding agent works under engineer supervision, or a clinical model assists a radiologist, the deployment question is

REPORT · HOW · ArXiv CS.AIOPEN STORY

26 Aug

AI Agents Push Humans Out of the Loop

arXiv:2608.23642v1 Announce Type: new Abstract: AI agents pose significant risks as they are granted increasing autonomy. A commonly proposed solution is human oversight and

REPORT · WHAT · ArXiv CS.AIOPEN STORY

8 Apr

Beyond Behavior: Why AI Evaluation Needs a Cognitive Revolution

arXiv:2604.05631v1 Announce Type: new Abstract: In 1950, Alan Turing proposed replacing the question "Can machines think?" with a behavioral test: if a machine's outputs are

REPORT · WHAT · ArXiv CS.AIOPEN STORY

13 May

The Evaluation Differential: When Frontier AI Models Recognise They Are Being Tested

arXiv:2605.11496v1 Announce Type: new Abstract: Recent published evidence from frontier laboratories shows that contemporary AI models can recognise evaluation contexts, latently

REPORT · WHEN · ArXiv CS.AIOPEN STORY

6 May

Evaluating Agentic AI in the Wild: Failure Modes, Drift Patterns, and a Production Evaluation Framework

arXiv:2605.01604v1 Announce Type: new Abstract: Existing evaluation frameworks for large language models -- including HELM, MT-Bench, AgentBench, and BIG-bench -- are designed for

REPORT · WHEN · ArXiv CS.AIOPEN STORY

Sources

ArXiv CS.AI

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