The Hidden Cost of AI: How “Black Box” Models Are Eroding Trust, Budgets, and the Environment
SMRTR summary
Most AI voice models are built to transcribe words, not truly understand them, causing enterprises to miss crucial conversational signals. This design flaw is driving up costs, hurting performance, and raising reliability concerns across industries that depend on real-time voice AI to make accurate decisions.
SMRTR provides this summary for quick context. The original article belongs to Unite AI.
Read the original article