⚡ Quick Summary
Published by Pincites, this eight-slide best-practices deck lists six clauses to consider including in an AI addendum to a vendor agreement. Each slide pairs a short drafting instruction with sample contract language offered in two versions, labelled Pro-Customer and Pro-Vendor, so that the same topic can be read from either negotiating position.
The six clauses cover prior written consent before a vendor introduces or makes AI features available; customer ownership of Customer Data and of Output Data generated by the AI system, with limits on vendor use and disclosure; a prohibition on using Customer Data to train, improve or modify vendor models; compliance with applicable laws and data protection obligations, including monitoring AI features for accuracy and reliability; responsible and ethical AI use, with policies promoting transparency, bias mitigation, fairness and accountability; and limitations of liability for AI outputs, combining a customer-side indemnity with a vendor warning that detailed or specific AI output "may still contain material inaccuracies".
The deck closes by directing readers to the publisher's blog.
🧩 What’s Covered
The deck is organised as one slide per clause, each carrying a drafting instruction and paired sample language.
- Slide 1 — Prior consent to add AI features: Requires the vendor to obtain the customer's prior written consent before incorporating, using or making AI features available in the performance of the services or in deliverables provided to the customer.
- Slide 2 — Data ownership and usage rights: States that Customer Data and Output Data generated by the AI system are the customer's Confidential Information, with no vendor right to use, disclose or distribute them beyond what is necessary to provide the services; the Pro-Vendor wording instead makes the customer solely responsible for its Inputs and Data.
- Slide 3 — Prohibition on model training with customer data: Bars the vendor from using Customer Data to train, improve or modify its AI models or to benefit third parties, while the Pro-Vendor version bars the customer from using an AI/ML feature to develop its own AI products, services, features or models.
- Slide 4 — Compliance with applicable laws: Requires the vendor to monitor and assess AI features for accuracy and reliability and to comply with applicable laws and industry practices; the paired clause has each party comply with Applicable Data Protection Law.
- Slide 5 — Responsible and ethical AI use: Requires policies for ethical and responsible use that promote transparency, mitigate bias and ensure fairness and accountability; the Pro-Vendor variant places internal-policy development and user training on the customer.
- Slide 6 — Limitations of liability for AI outputs: Offers a customer-side indemnity for claims, damages or losses arising from breach, including data breaches and intellectual property violations, against a vendor disclaimer that detailed AI output "may still contain material inaccuracies".
- Closing slide: Points readers to the publisher's blog at pincites.com/blog.
💡 Why it matters?
AI addenda are negotiated one clause at a time, and this deck supplies a starting position for each of the terms that decide how a vendor may use AI in a service. It makes the trade-offs explicit: consent before features change, ownership of inputs and outputs, training rights over customer data, accuracy monitoring, ethics policies and liability for AI-generated errors. The paired Pro-Customer and Pro-Vendor wordings show where a negotiated outcome will land, so reviewers can identify the clauses that need escalation. Because the sample language refers only generally to Applicable Data Protection Law, teams still have to map these positions onto the regimes that bind them.
❓ What’s Missing
The deck states positions rather than explaining them: there is no discussion of how the clauses interact, no fallback or compromise wording between the two poles, and no complete worked example of an AI addendum. It does not address model documentation, evaluation or testing obligations, incident notification, audit rights, subcontractor and subprocessor flow-down, or the handling of personal data beyond a generic reference to Applicable Data Protection Law. No jurisdiction, publication date, author or version is printed, and the closing slide offers only a blog link rather than a citation or source.
👥 Best For
Legal, procurement and vendor-management teams drafting or reviewing AI addenda for technology contracts; AI governance leads who need a checklist of the commercial terms shaping how an AI vendor may use customer data; and risk or compliance reviewers asked to comment on consent, training, ethics and liability positions before signature.
📄 Source Details
Key terms for AI Addendums: Six clauses to include in your AI Addendum, marked "BEST PRACTICES" on every slide and closing with "Read more on our blog pincites.com/blog". No author, publication year, version or page count is printed; the publisher is inferred from the pincites.com domain on the final slide. The input was the text extracted from all eight PDF pages, which are slide-style and carry no running text beyond the clause headings and the sample contract language.
