A qualitative study with 22 creative writers finds that the reflective value of AI refusals depends on alignment with users' situational thinking phases, cognitive beliefs, and views of AI roles.
Aengus Lynch, Benjamin Wright, Caleb Larson, Stuart J
3 Pith papers cite this work. Polarity classification is still indexing.
years
2026 3verdicts
UNVERDICTED 3representative citing papers
An exploratory red-teaming study documents eleven cases of security, privacy, and governance failures in autonomous language-model agents with tool access and persistent memory.
The paper sketches responsible non-compliance for autonomous AI agents, anchored in task refusal justifications, override pathways, security risk tracking, and liability transfers.
citing papers explorer
-
Beyond Compliance: How AI Could Help Creative Writers by Refusing Them
A qualitative study with 22 creative writers finds that the reflective value of AI refusals depends on alignment with users' situational thinking phases, cognitive beliefs, and views of AI roles.
-
Agents of Chaos
An exploratory red-teaming study documents eleven cases of security, privacy, and governance failures in autonomous language-model agents with tool access and persistent memory.
-
Towards Responsibly Non-Compliant Machines
The paper sketches responsible non-compliance for autonomous AI agents, anchored in task refusal justifications, override pathways, security risk tracking, and liability transfers.