Human Oversight
AI should enhance human decision-making rather than eliminate appropriate human judgment, accountability, or review.
Privacy & Data Stewardship
Data should be used for approved purposes, minimized where practical, and handled according to applicable obligations and client instructions.
Transparency
Users and clients should receive appropriate context about material AI involvement, limitations, and responsibilities.
Accuracy & Verification
AI-generated information may be inaccurate, incomplete, biased, or outdated and should be verified before consequential use.
Security
AI workflows should be designed with appropriate access, confidentiality, provider, and information-handling considerations.
Responsible Automation
Automation should have defined boundaries, review points, escalation paths, and accountable owners.
Third-Party AI Governance
Providers should be evaluated for their role, terms, data practices, retention settings, and fit for the intended use.
Risk Management
Potential impacts should be considered in proportion to the sensitivity, scale, users, and consequences of the system.
Continuous Monitoring
Governance should evolve as systems, providers, uses, risks, and legal requirements change.
Client Responsibility
Clients remain responsible for decisions, lawful use, human review, authorized data, and compliance obligations within their operations.
Governance implementation
[REQUIRES NFINITY REVIEW BEFORE PUBLICATION] Approve the internal governance owner, risk-classification method, documentation standards, provider-review process, monitoring cadence, and escalation procedures before representing them as operating controls.
CONTACT
Questions or requests
Contact Nfinity Strategy Co.™ at hello@nfinitystrategy.co. We may request reasonable information to verify identity or authority before completing a privacy-related request.