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AutoAnalysis: An automated, self-updating meta-analysis of human-AI collaboration

Paper recorded by Signals 4 on 2026-10-30 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-30 on arXiv · recorded by Signals 4 on 2026-11-02

Category: cs.AI · 人工智能 · first seen 2026-11-02

Abstract

As generative artificial intelligence (AI) becomes more capable and widely used, understanding when and how humans should work with these systems is becoming increasingly important. However, the empirical evidence in this space offers conflicting recommendations, which leaves individuals and organizations without clear guidance on when to combine human and AI capabilities. Existing meta-analyses c

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#55 most recent of 920 cs.AI papers we have recorded · ↑ newer: TradeWar: A Benchmark for Execution-Grounded Trade Negotiation with Ad · ↓ older: SecPO: Principled Adversarial Training for Prompt Injection Security
Cite this page: AutoAnalysis: An automated, self-updating meta-analysis of human-AI collaboration: the #55 most recent of 920 cs.AI papers we have recorded (as of 2026-10-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/autoanalysis-an-automated-self-updating-meta-analysis-of-human-ai-collaboration.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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