Harvard DSR
AI/ML
Can We Really Trust AI Systems? A New Way to Test Them in the Real World
We've tested AI in labs forever, but a new framework asks: does it work in the messy real world where conditions keep shifting? It's like moving from a driver's test course to rush-hour traffic.
This means organizations deploying AI in healthcare, policy, and finance need rigorous field evaluation protocols—not just benchmark scores—to know if the system will actually help people.
Bug reported: No