Persistent AI Agents in Academic Research: A Single-Investigator Implementation Case Study
Background: Large language models are typically evaluated as models, benchmarks, or short conversational episodes. Less is known about what happens when an agent is embedded persistently in a real academic research environment with durable memory, local files, external tools, scheduled routines, delegated roles, and explicit safety protocols. Methods: A structured self-observed implementation case study was conducted from January 31 to May 25, 2026. The unit of analysis was the persistent human-
Record details
Published: 26 May 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy · Environment · Finance, VC & PE
Retrieved: 14 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Voluntary Collusion with Secret Tools in Competing LLM Agents
arXiv · 26 May 2026
Artificial Intelligence in Education: AIEd for Personalised Learning Pathways
OpenAlex · 9 December 2022
Artificial intelligence, systemic risks, and sustainability
OpenAlex · 17 September 2021
Understanding and Resolving Failures in Human-Robot Interaction: Literature Review and Model Development
OpenAlex · 15 June 2018
Microsoft built an agentic security system with red, blue, and green team AI agents. It enters public preview August 3.
The Next Web AI · 27 July 2026
Position: AI Safety Requires Effective Controllability
arXiv · 26 May 2026
How to cite this record
ethics.ai (26 May 2026), “Persistent AI Agents in Academic Research: A Single-Investigator Implementation Case Study,” evidence record 3686, https://ethics.ai/record/3686 (originally published by arXiv).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.