Importance of Fact-Checking in Artificial Intelligence

The speaker highlights the critical importance of fact-checking in AI systems, pointing out that these systems lack the ability to validate information. The analogy of journalists on acid filing stories emphasizes the need for human intervention to verify facts rather than relying solely on data and computation. The speaker's 1998 work on the 'training space problem' underscored the issue of neural networks not being able to generalize beyond a certain distribution, emphasizing the recurring challenge of distribution shifts in AI.