What if we could rate AI the same way we rate restaurants, cars, or even creditworthiness?
That’s exactly what Stanford HAI (Institute for Human-Centered Artificial Intelligence) is aiming for with its new benchmark: TESS—short for Trust Evaluation in Scalable Systems.
TESS is designed to measure how trustworthy an AI system really is, focusing on three key pillars:
Transparency – Does the AI clearly explain what it’s doing and why?
Fairness – Is it treating all users equitably, without bias?
Governance – Can we hold it accountable if something goes wrong?
This isn’t just an academic exercise—it’s a tool meant for developers, regulators, and everyday users. Whether you’re running a hospital, building a chatbot, or shopping online, TESS could soon help you understand how reliable the AI behind the scenes really is.
Why It Matters:
Trust has always been the invisible currency of technology. But now, thanks to TESS, it might become something we can see, measure, and act on. Imagine labels on AI apps or services saying “Trust Score: 89/100.” That’s the future Stanford is pointing toward—a world where AI earns our trust, not just our attention.
