The Quest for Reliable Metrics of Responsible AI
NeutralArtificial Intelligence
The article discusses the importance of developing reliable metrics for responsible AI, particularly in the context of AI in Science. While there has been significant progress in creating evaluation metrics to measure responsible AI, the robustness and reliability of these metrics themselves have not been thoroughly assessed. This is crucial because ensuring that fairness metrics for applications like recommender systems are dependable can lead to more ethical AI practices, ultimately benefiting society.
— Curated by the World Pulse Now AI Editorial System




