The operating principles KCAIA uses when teaching, advising, and building with AI.
Last updated: June 16, 2026
Human judgment stays in the loop
AI should accelerate decisions, not silently replace accountable human judgment in high-impact contexts.
Safety before scale
We prefer useful, bounded systems with clear guardrails over flashy automations that create unmanaged risk.
Transparency
Teams should understand when AI is being used, what it can and cannot do, and where final accountability lives.
Data respect
Private, sensitive, or regulated data should be handled deliberately. Do not paste confidential information into tools without a clear policy and vendor understanding.
Model pluralism
Claude is our primary default because of Anthropic’s safety posture, but responsible implementation means choosing the right model and architecture for the job.
Practical governance
Good AI governance should help teams ship safer work faster — not become paperwork cosplay.