Machine Learning Bias
Systematic errors in AI models that arise from the data or algorithms used, leading to poor outcomes.
Systematic errors in AI models that arise from the data or algorithms used, leading to poor outcomes.
A phenomenon where the winner of an auction tends to overpay due to emotional competition, leading to a less favorable outcome than anticipated.
The tendency for individuals to favor information that aligns with their existing beliefs and to avoid information that contradicts them.