With High-Stakes AI, The Safest Answer Is Sometimes No Answer

Murali Rajendran highlights the risks of AI systems confidently providing incorrect answers in high-stakes fields like healthcare and finance. He advocates for fail-closed AI designs that refuse to answer when data is uncertain, prioritizing safety over always responding.