From Risk Avoidance to User Empowerment: Reframing Safety in Generative AI for Mental Health Crises
2026-03-09T07:23:52Z•2cc30cdebb59c8cdd5239eabba85fc5b34cc4540eced69515b57afe2fb784139
AI researcher surveyLLM risksLoRATikTokadvertising lawalgorithmic auditingambiguity collapseaugmentative and alternative communicationbias mitigationbiometricscomputational social sciencecontent moderationcrisis supportdomain-adaptive fine-tuningfairness in hiringgenerative AIhuman-in-the-loopinfluencer marketingliability avoidancemental healthminors protectiontopic modelinguser empowerment
What happened
Collection of recent AI-society research highlighting multiple sociotechnical risks and proposed mitigations. Key findings include: (1) generative chatbots often default to liability-driven avoidance rather than providing de-escalation and empowerment for users in mental-health crises, prompting design/regulatory proposals to balance risk mitigation with supportive intervention; (2) a Digital Services Act audit of TikTok finds a definitional gap that lets influencer/undisclosed commercial content be profiled and targeted to minors despite formal compliance, recommending expanding the legal ad‑
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_cy
- Record identifier
- 2cc30cdebb59c8cdd5239eabba85fc5b34cc4540eced69515b57afe2fb784139
- Enrichment time
- 2026-03-09T07:23:52Z
- AI-assisted enrichment
- Yes
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