Where the Evidence Lives: Auditing AI Companions' Self-Descriptions
Companion agents describe themselves: they remember, they understand their users, the relationship has changed them. We argue that such accounts, and the experience ratings that seem to confirm them, are checkable by users only where the evidence is theirs: in the agent's behavior, or in themselves. Where the evidence lives in the machinery, fluent self-description and moderately positive ratings do not establish that the mechanisms behind them ran. We demonstrate an audit procedure that sets an agent's self-description against its users' judgements and its implementation records, reporting each claim as supported, contradicted, or unresolved, and apply it to Lita, a proactive companion w...
| Authors | Seiya Ikeda, Shin-nosuke Ishikawa |
|---|---|
| Primary category | cs.HC |
| Published | 30 September 2026 |
| Last updated at source | 30 September 2026 |
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