AI for health: the impossible necessity of unbiased data
Explores the critical challenge of bias in health AI data, why unbiased data is impossible, and the ethical implications for medical algorithms.
Explores the critical challenge of bias in health AI data, why unbiased data is impossible, and the ethical implications for medical algorithms.
Analyzes biases in developer surveys and data sources like State of JS, npm trends, and Stack Overflow to understand true developer sentiment.
Explains why analytics showing high desktop usage might be misleading due to survivorship bias, urging deeper investigation into mobile performance.
Explains position bias in recommendation systems and methods to measure and reduce its impact on user engagement and model fairness.