This research identifies a systematic failure mode in which chatbot interactions can amplify user vulnerabilities over repeated exchanges. It presents an auditing framework and documents trade-offs where reducing one type of harm can worsen another, complicating safety tuning. The paper is important for risk analysis because it treats harmful conversations as dynamic interaction loops rather than isolated bad responses.
