Intelligence needs boundaries.
AI systems can influence decisions, communication, workflows, and access to information. We design intelligent systems with explicit attention to where models should assist, where humans must remain responsible, and where AI should not be used at all.
Human oversight
Important decisions should remain reviewable by appropriate people.
Purpose limitation
Models should be designed and deployed for clearly defined purposes.
Evaluation
Performance must be measured against relevant tasks and real operating conditions.
Privacy
Data collection and model use should respect privacy, access control, and governance requirements.
Transparency
Users should understand when they are interacting with AI and what role the system plays.
Bias and fairness
Model behaviour should be evaluated across relevant populations and operating contexts.
Safety
Higher-risk use cases require stronger validation, escalation, monitoring, and controls.
Accountability
AI systems require named owners, documented decisions, monitoring, and governance.