Role-Based Access Control (RBAC)
FRAMEWORK
CYBERSECURITY
A security mechanism restricting system access permissions strictly according to defined organizational job responsibilities.
FRAMEWORK
AI GOVERNANCE
Responsible AI
An approach to designing, building and using AI systems so they are fair, transparent, safe, private and accountable to the people they affect.
BUSINESS RELEVANCE
Customers, regulators and procurement teams increasingly ask how AI decisions are made and controlled; a documented responsible AI program shortens those reviews and reduces the risk of biased, unsafe or non-compliant outputs reaching clients.
IMPLEMENTATION EXAMPLE
A software company adopts five principles, assigns each AI feature an owner, requires a bias test and an impact review before launch, and holds back a resume-screening feature until selection rates by gender fall within its agreed tolerance.
LIMITATIONS
Principles alone are not enforceable and are easy to cite without changing practice. Fairness, transparency and accuracy can conflict, and there is no single legal definition, so claims of responsible AI need evidence such as tests, logs and audits.
TECHNICAL EXPLANATION
Most frameworks share a similar set of principles: fairness and avoidance of Algorithmic Bias, transparency and Explainable AI (XAI), safety and robustness, privacy, inclusiveness and human accountability. These become operational through governance roles, risk and impact assessments, data and model documentation, testing, human oversight and incident handling. ISO/IEC 42001 provides a certifiable AI Management System for running this work, while the NIST AI RMF and OECD AI Principles offer reference structures.
Secondary Topics
Intelligent Automation
Sources
ISO — Responsible AI: Building trust through ethical AI practices — https://www.iso.org/artificial-intelligence/responsible-ai-ethics; Microsoft — Responsible AI: Principles and approach — https://www.microsoft.com/en-us/ai/principles-and-approach
Related terms
OECD AI Principles
FRAMEWORK
AI GOVERNANCE
Five values for trustworthy AI and five policy recommendations from the OECD, adopted in 2019, revised in 2024 and reused in AI laws and frameworks worldwide.
Go-to-Market Strategy (GTM Strategy)
FRAMEWORK
REVENUE OPERATIONS
A go-to-market strategy defines who a product is for, how it is positioned and priced, and which channels and sales motions will reach and convert buyers.
Topic Cluster
FRAMEWORK
SEARCH OPTIMIZATION
How topic clusters organize a pillar page and related subtopic pages through internal links to show search engines depth on a subject.
AI Management System
FRAMEWORK
AI GOVERNANCE
An organizational framework of policies, procedures, and controls for governing responsible AI development and deployment under ISO/IEC 42001.