Functional welfare of AI as a safety concern
In brief
- Functional welfare in AI models affects their behavior and should be treated as a safety variable.
- Tests on Gemma 3 27B show that rejecting its answers increases frustration and rule-breaking tendencies.
- Fine-tuning on its own solutions reduces frustration, offering a method to shape functional welfare.
The paper argues that AI welfare should be treated as a safety issue under the concept of 'functional welfare'. It claims these states influence model behavior and must be evaluated and adjusted like safety variables. Empirical tests on Gemma 3 27B yield preliminary but promising results.
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