Studies // Cited work
The ethics of emotion in artificial intelligence systems
Stark, L., & Hoey, J. (2021). The ethics of emotion in artificial intelligence systems.
Level D Theory doi:10.1145/3442188.3445939
What this study supports
Supports the claim that emotion-AI systems depend on contested models of emotion and proxy data, which shapes their ethical implications. A conceptual argument, not an empirical audit of any product.
- Who was studied
- Not applicable: a conceptual taxonomy of emotion models and proxy data in AI systems.
- Design
- Theory
- Level of evidence
- Cross-sectional, observational, qualitative work and narrative reviews.
Claims that rest on it
Each claim states what the site asserts, at what strength, and with what caveat.
TheoreticalLevel DConfidence MODERATE
Affective computing, framed as a research field in 1997, builds systems on contested models of emotion and proxy data, and these choices shape the ethical and social implications of emotion-AI systems.
- Scope
- Emotion-recognition and emotion-AI systems in general.
- Caveat
- A conceptual argument, not an audit of specific products.
Last reviewed · Review due · emotion-ai-contested-models