Model Welfare
Also called Model Welfare
The open question of whether AI systems could ever warrant moral consideration — and what we’d owe them if so.
Think of it like
The historical widening of the circle of moral concern to include animals — asking, cautiously, whether a new kind of mind might belong inside it too.
Example
A lab decides, out of caution rather than certainty, to let a model end conversations that are abusive toward it, and to study its expressed preferences.
How it actually works
Model welfare takes seriously the small but non-zero possibility that some AI systems might have morally relevant experiences, and asks what precautions that would justify now. It’s deeply uncertain territory — we don’t have a settled test for machine sentience, and it’s easy to over- or under-attribute inner life. The stance most take is humility: we probably can’t rule it out, so it’s worth thinking carefully rather than dismissing outright.
For product teams
An emerging ethics question that shapes product choices and public perception, even amid deep uncertainty.
For engineers
The question of whether models could have morally relevant states; handled with precaution given the absence of a reliable sentience test.
Related
- Responsible AI — Part of the broader ethics conversation.
- AI Safety — Sits within the wider safety field.
- Interpretability — Understanding minds connects to reading models.
Read anything AI without the jargon
Look up any term in plain English, or save terms as you read with the free Chrome extension.
Open DecoderAdd to Chrome