AI’s blind spot: Machines can’t separate truth from noise | Opinion

In a thought-provoking opinion piece, the author discusses the limitations of artificial intelligence in discerning truth from misinformation. They argue that instead of relying on unverified data, AI systems should be trained on information that is attributed and reputation-weighted, ensuring that the truth is integrated into the data itself. This perspective is crucial as it highlights the need for more reliable data sources in AI training, which could lead to more accurate and trustworthy outcomes in various applications.