<ul><li>Building AI that 'doesn’t lie' is a myth due to various complexities in its development.</li><li>Training data limitations cause bias and inaccuracies in AI, leading to flawed outputs.</li><li>AI can produce factually incorrect outputs, known as 'hallucinations,' due to incomplete understanding.</li><li>AI lacks real-world comprehension, operates on correlations, and cannot discern a universal truth independently.</li></ul>

Why Building AI That “Doesn’t Lie” is a Myth We Need to Address

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