Building AI People Can Trust

Imagine this: your sales team is thrilled about a new AI assistant. Then someone asks—what if the bot accidentally exposes our pricing data or internal manuals?

That simple question opens the floodgates:

Are we allowed to record our sales reps for training data? Where does customer PII go? Do vendors really keep our data private? What if the bot gives unsafe product advice?

There are frameworks (NIST AI RMF, OWASP, FTC/CCPA/GDPR) and key practices (data classification, enterprise tiers, vendor diligence, clear disclosure) that can help. It’s on us, the humans, to build responsibly.

The question isn’t “Should we trust AI?” but “How do we build AI people can trust?”