TORONTO, Canada, February 20, 2026 – AI is moving fast, but trust is the real differentiator. As systems shift from chat to action, organizations need more than fluent outputs. They need accuracy, governance, and clear accountability.

In our conversation with Beverly Andrews on CityNews, we explored how ethical AI design can improve user experience and reduce the hidden costs of trial-and-error AI. That includes the compute burden that comes from rework, repeated prompts, and low-confidence answers.

At kama.ai, we build Hybrid AI Agents that combine deterministic Knowledge-Graph AI with governed Generative AI (RAG). The result is brand-safe, transparent AI that understands context, follows governance, and supports measurable outcomes.

“AI does not need to be faster. It needs to be smarter, safer, and trustworthy.”

Section: What we mean by ethical AI

• Accuracy first using trusted knowledge sources

• Governance and guardrails that align to policy and brand values

• Explainability so teams can see why an answer happened

• Human-in-the-loop oversight for higher-risk actions

• Operational efficiency by reducing rework and wasted cycles