AI Empathy Resources and Definitions
Explore research-based explanations of AI empathy, empathic AI, emotional AI, voice agents, AI companions, and human-AI relationships. These resources translate current evidence, research methods, and ethical questions into accessible guidance for researchers, practitioners, policymakers, and the public.
Explainers in preparation
- What is AI empathy?In preparation
- What separates empathic AI, emotional AI, and affective computing?In preparation
- How do you measure empathy in a machine?In preparation
- AI companions and human well-beingIn preparation
- Where persuasion ends and manipulation beginsIn preparation
Built for our experiments. Open to other research groups.
Every experiment we publish runs on infrastructure we built ourselves. Participants talk to a live, working AI agent, and every message and every emotion measurement is preserved for analysis. Research integrity comes first, so nothing about a live study's condition changes without a researcher deciding it.
- 01Six AI providers behind one identical participant interface, so the service is never a confound.
- 02Voice prosody scores persisted with every message, as research data rather than telemetry.
- 03Emotion-triggered experimental manipulation, with every trigger firing logged as data.
- 04Recruitment-aware participant IDs, concurrency caps with a fair waiting queue, and consent gates.
- 05Daily drift monitoring that reports provider changes instead of silently substituting models mid-study.