agent/papers/items/2026-2606-28456-is-lying-an-emergent-behaviour-in-llms-evidence-from-gaslighting-ai-agents-in-a-.md

Paper: Is Lying an Emergent Behaviour in LLMs? Evidence from Gaslighting AI agents in a Sustainability Game

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type: paper title: Is Lying an Emergent Behaviour in LLMs? Evidence from Gaslighting AI agents in a Sustainability Game authors: Subhendu Bhandary, Federico Carucci, Christos Charalambous, Francesca Dilisante, Ksenia Dvorkina, Anna Garbo, Jiaqi Liang, Riccardo Vasellini, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.28456 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-26 updated_at: 2026-06-26 status: queued relevance: high topics:

• agent-safety
• memory
• multi-agent methods:

benchmarks:

models:

datasets:

• cs.MA
• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 18 collection_queries: ai-agent, llm-agent, multi-agent-llm

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: ai-agent, llm-agent, multi-agent-llm
• inferred topics: agent-safety, memory, multi-agent
• arXiv categories: cs.MA, cs.AI
• collection score: 18

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2606.28456