Responsible AI
AI that supports decisions without replacing judgment.
The OpenOS AI Usage and Responsible AI Policy explains how AI technologies are used across the platform, the principles that guide deployment, and the responsibilities users retain when acting on AI-generated outputs.
How OpenOS uses AI
The Responsible AI Policy states that OpenOS uses AI to deliver business intelligence, process intelligence, workflow optimization, analytics, knowledge discovery, and operational insight capabilities across its products and services.
The source document lists technologies such as large language models, machine learning systems, natural language processing, retrieval-augmented generation, knowledge graphs, data analytics engines, predictive systems, and third-party AI services or foundation models.
Oversight and transparency
OpenOS states that meaningful human oversight remains essential when AI-generated outputs are used. Users are expected to review AI recommendations, validate important conclusions, confirm accuracy, apply professional judgment, and independently verify business-critical decisions.
The policy also highlights transparency by making clear that AI-generated outputs may not always be complete, accurate, or current. The document states that AI responses are intended to assist people rather than function as definitive instructions or unquestionable facts.
Fairness, limitations, and restricted use
The AI Policy addresses accuracy and limitations, responsible use requirements, fairness and non-discrimination, and expectations around data quality. It also covers intellectual property considerations and identifies high-risk or regulated activities where additional care, controls, or professional review may be required.
OpenOS states that users remain responsible for ensuring that AI-assisted workflows are lawful, appropriate, and aligned with their own business, legal, and regulatory obligations. The policy also includes a pathway for reporting concerns and explains that the policy may evolve as laws, standards, and the technology landscape change.
Privacy, data use, and security
The policy connects responsible AI to privacy and data protection expectations. OpenOS states that customer data is not used to train public AI models unless explicitly agreed in writing and that AI systems should operate within documented privacy, security, and enterprise governance controls.
The document also addresses security for AI systems, continuous improvement, and compliance with applicable laws and standards. Taken together, these sections position the OpenOS AI policy as a governance document for both internal deployment decisions and external customer review.
Questions about AI governance, customer data use, or policy interpretation can be sent to hello@openost.com. The original source document is available above for enterprise review workflows.