SLIP & ETHICS: Graduated Intervention for AI Emotional Companions
The paper discusses the SLIP (Staged Layers of Intervention Protocol) methodology for AI emotional companions, addressing the balance between safety and rapport. It highlights the challenges of implementing interventions based on user behavior and emotional signals. Initial findings suggest that while increased model capability improves detection, there are still limitations in intervention responses during high-energy scenarios.
- ▪AI emotional companions face a safety-rapport paradox, where restrictive safeguards can harm user support.
- ▪The SLIP methodology includes four stages of intervention based on qualitative indicators of affect intensity and narrative dynamism.
- ▪Initial results showed that high-energy elevation in users led to zero interventions, indicating a conflict with the principle of not pathologizing behavior.
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Computer Science > Human-Computer Interaction arXiv:2605.15915 (cs) [Submitted on 15 May 2026] Title:SLIP & ETHICS: Graduated Intervention for AI Emotional Companions Authors:Minseo Kim View a PDF of the paper titled SLIP & ETHICS: Graduated Intervention for AI Emotional Companions, by Minseo Kim View PDF HTML (experimental) Abstract:AI emotional companions face a safety-rapport paradox: restrictive safeguards can damage supportive alliance, while permissive systems risk user harm.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.