Headlines about AI gone wrong are now commonplace. Chatbots spew misinformation, recommendation engines reinforce bias. As AI becomes core infrastructure, organisations must build trust.
The NIST AI Risk Management Framework lists key characteristics: valid, reliable, safe, secure, accountable, transparent, and fair.
Regulatory Scrutiny
Customers already express frustration with AI interactions; regulators are responding with laws like the EU AI Act, which requires transparency.
Our clients—often in regulated sectors—cannot afford missteps. They need to demonstrate that their AI is fair, transparent and controllable.
Shift from hype to responsibility.
CCL’s Governance Service
We begin by inventorying all AI systems and classifying them by risk. We establish AI ethics committees and design processes to test models for bias.
Our engineers instrument AI services with logging, version control and audit trails. We ensure customer communications disclose when AI is in use.