#trust

#trust

Trust is not merely a social nicety - it is infrastructure. Across decades of empirical research, economists and political scientists have converged on a striking finding: societies and individuals with higher levels of interpersonal trust consistently outperform their low-trust counterparts on nearly every measurable dimension of economic and institutional life.

AI was everywhere, but I wasn't focused on product launches. I was looking at how companies think about data itself: how it's shared, governed and ultimately turned into decisions. And across conversations with executives and sessions on security and compliance, a pattern emerged: the technical limitations that once justified locking data down have largely been solved. What remains difficult is human. Alignment, trust and confidence inside organizations are now the true barriers.

Trust has fast become one of the central questions in every serious conversation about AI. Not capabilities. Not efficiency. Trust. If customers don't trust how companies deploy AI, they'll walk away. If employees don't trust it, they'll disengage. If enterprises don't trust their AI providers, they won't adopt. A recent global KPMG study found that while two-thirds of people now use AI regularly, fewer than half say they're willing to trust it.

I assume that it's intended to provide ammunition to go after disfavored faculty and/or to instill such a chill on campus that nobody would dare to say anything provocative in the first place. Whether those motivations are locally held or are meant to keep the university below the radar of certain culture warriors, I don't know. The effects are the same either way, and they're devastating to the mission of a university.