Human Verification Still Needed

In this clip, Adi Hazan from Analycat discusses the appeal and limitations of AI models. He finds it enticing to have larger, better, or personalized models. However, he cautions that these models cannot discern truth from fiction, a phenomenon he refers to as “hallucinating.”

He emphasizes the necessity of human verification of AI outputs, noting that currently, the most effective use of AI is in conjunction with human cross-checking. He also observes a trend away from trying to replace humans with AI, suggesting a growing recognition of the indispensable role of human judgment in conjunction with AI technologies.

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