Responsible AI adoption starts with clear rules, approved tools and meaningful human oversight.
The adoption gap
Employees are experimenting with generative AI to draft messages, summarize documents and accelerate research. Without guidance, they may unintentionally place confidential information into unapproved services or rely on inaccurate outputs in consequential decisions.
Define what is allowed
An AI acceptable-use policy should identify approved tools, permitted use cases, restricted information and prohibited activities. Clarify whether employees may submit customer records, patient information, credentials, financial data or internal intellectual property. When sensitive data is involved, require a documented review before use.
Keep people accountable
AI-generated output can be incomplete, biased or simply wrong. Require human review for client-facing material, operational decisions, code changes and regulated workflows. Make it clear who is responsible for checking facts, privacy, copyright and security before publication or use.
Govern the technology
Evaluate vendor terms, retention, training-data settings, access controls, logging and integrations. In healthcare environments, review HIPAA applicability and whether a business associate agreement is required before any protected health information is processed.
Make policy useful
Pair the policy with short examples, employee training and an approval path for new use cases. Revisit it regularly as tools and business needs change. The goal is to enable safe experimentation, not block innovation.
This article provides general technology guidance. Specific security, privacy and compliance requirements depend on your organization and environment.