Testing AI is not like testing software and most companies haven't figured that out yet

Article highlights a critical gap in AI development: most companies are using traditional software testing methods that fail to catch AI's unpredictable failures and edge cases. This testing inadequacy could lead to AI systems being deployed with undetected flaws that cause real-world harm, as AI behavior is fundamentally different from deterministic software.