Where the Evidence Lives: Auditing AI Companions'Self-Descriptions
An audit procedure is demonstrated that sets an agent's self-description against its users'judgements and its implementation records, reporting each claim as supported, contradicted, or unresolved, and applies it to Lita, a proactive companion built and deployed for a month with nine colleagues.
S. Ikeda, S. Ishikawa
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