@wired.com 1 year ago
Health Care Bias Is Dangerous. But So Are ‘Fairness’ Algorithms
@yourICM 3 years ago
5 key principles that should be remembered for smart use of #ArtificialIntelligence as adoption of #MachineLearning systems becomes more widespread in medical imaging: ➡️knowledge base ➡️metrics ➡️bias ➡️model fragility ➡️error-prone behavior #DataScience https://rdcu.be/cdI0d https://t.co/OvNVtwfl94