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AI Usage Addendum review

Linter for an AI / Generative-AI Addendum to a commercial agreement. Checks cover definitions (Generative AI / Foundation Model / Output / Training Data), prohibited training-on-customer-data without opt-in, transparency (features + default state + hosting), IP ownership of outputs, AI hallucination disclaimer + human-review obligation, AI subprocessor disclosure, deletion of fine-tuning data on termination. Citations are NIST AI RMF / EU AI Act / FTC enforcement — explicitly labeled 'consensus practice, not statute' where no controlling regulator applies.

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What it checks

AI definitions present

AI Addendum must define the core terms (Generative AI, Foundation Model, Output, Training Data).

Warning · ADDENDA-010

Prohibited use: training on customer data without opt-in

Flags an AI Addendum that permits training on customer data without an explicit opt-in.

Critical · ADDENDA-011

AI transparency: features + default state + hosting

AI Addendum should disclose which features use AI, whether on by default or opt-in, and whether the model is on-prem or third-party-hosted.

Warning · ADDENDA-012

IP ownership of AI outputs

AI Addendum must allocate IP ownership of Outputs.

Warning · ADDENDA-013

AI output warranty disclaimer + human-review obligation

AI Addendum should disclaim warranties on AI outputs (hallucination risk) and obligate human review for high-stakes uses.

Note · ADDENDA-014

AI subprocessor disclosure

AI Addendum should disclose AI subprocessors (OpenAI, Anthropic, Google, etc.).

Warning · ADDENDA-015

Deletion of fine-tuning data on termination

AI Addendum should obligate deletion of fine-tuning / training data on termination.

Warning · ADDENDA-016

Every run also applies 125 general checks that belong to any agreement: structure, parties and signatures, defined terms, cross-references, dates, amounts, and one-sided terms.

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