This analysis describes what Groq's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
Groq explicitly disclaims the reliability of its AI outputs and places an affirmative evaluation obligation on the user, meaning users bear responsibility for verifying results before acting on them.
Users are required to assess AI-generated outputs for accuracy and appropriateness rather than rely on them uncritically.
How other platforms handle this
AI outputs may be incomplete, inaccurate, outdated, inappropriate, or inconsistent and may change over time. They are not a substitute for professional advice...You are responsible for your use of Outputs...
evaluate Asana AI outputs for accuracy and appropriateness in light of the probabilistic nature of AI and potential for producing inaccurate content.
This is still Your Content, and you are responsible for it and its accuracy, as well as your use of it on our Services and any and all decisions made, actions taken, and failures to take action based on Your Content.
Monitoring
Groq has changed this document before.
Receive same-day alerts, structured change summaries, and monitoring for up to 25 platforms.
"AI Model Services use artificial intelligence and machine learning models that generate outputs, which may be inaccurate. Outputs should be evaluated for accuracy and appropriateness.— Excerpt from Groq's Groq Acceptable Use Policy
How Meta, TikTok, and Supabase restructured governance language across documents, jurisdictions, and consent frameworks through incremental document updates.
How 10 AI platforms describe the use of user data for model training, improvement, and development, based on archived governance provisions.
Compliance Governance Intelligence
Need to monitor specific governance provisions?
Compliance includes provision-level monitoring, governance timelines, regulatory mapping, and audit-ready analysis.
Built from archived source documents, structured governance mappings, and historical version tracking.
Groq explicitly disclaims the reliability of its AI outputs and places an affirmative evaluation obligation on the user, meaning users bear responsibility for verifying results before acting on them.
Users are required to assess AI-generated outputs for accuracy and appropriateness rather than rely on them uncritically.
ConductAtlas has identified this type of provision across 215 platforms. See the full comparison.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Groq.