Uncovering Research Bias
Machine learning's complexity often obscures issues like leakage and sampling bias, making them difficult to detect. The pressure to publish can overshadow the need for thorough evaluations, leaving subtle errors hidden within extensive code. As one study revealed, a single line of code among thousands can lead to significant inaccuracies, highlighting the need for greater transparency in scientific research.In this clip
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Short Wave
When AI Goes Wrong
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