arXiv — cs.AI preprintsInternational16 October 2026
Following Delegation Traces to Study Human Oversight in Interaction with Multimodal AI
This is an official announcement record
Firsthand records what arXiv — cs.AI preprints announced and links to the original. The wording below is theirs, not ours.
arXiv:2610.21948v1 Announce Type: cross Abstract: As multimodal AI systems are becoming our everyday thought partners, the shift towards studying how users transfer control to these systems becomes especially urgent. In this paper, we report an overview of findings from an online study with n=56 AI-literate participants and 392 Video Question Answering trials. After inspecting each multimodal AI response, participants rated task-specific trust and selected one of three intended policies for an analogous future task: reject AI assistance, use it with verification, or delegate fully to the AI. W
Read the official announcement
Opens arxiv.org
More from arXiv — cs.AI preprints
- The World Won't Wait: Evaluating and Teaching Agents Under a Live Clock16 October 2026
- Evaluating Model Capabilities After Benchmark Saturation16 October 2026
- Value-Informed Schedule Trimming for Accelerated Sequential Monte Carlo Guidance in Discrete Diffusion16 October 2026
- AlphaDiana: A Measurement System for Agents in Verifiable Reasoning Tasks16 October 2026
- When Correctness Feedback Erases Evidence: Phase-Separated Completeness Auditing in Verus16 October 2026
This content is for informational purposes only and is not professional advice. Specifications, prices, plan tiers, and features change frequently and may differ from what is shown here; verify current details on the manufacturer's or company's official page before purchasing. Ratings are based on analysis of published documentation, not independent lab testing.