High-accuracy AI systems often fail in real-world usage because human behavior introduces noise that benchmarks don’t capture. Designing for consistency and trust matters more than optimizing raw accuracy.
High-accuracy AI systems often fail in real-world usage because human behavior introduces noise that benchmarks don’t capture. Designing for consistency and trust matters more than optimizing raw accuracy.