Why Most AI Failures Are Systems Failures, Not Model Failures

Artificial intelligence has become a core part of modern software systems, powering everything from recommendations and search to fraud detection and autonomous decision-making. Nevertheless when AI systems fail in production, the instinctive reaction is almost always the same: the model must be wrong. In practice, post-incident analyses across the industry tell a different story. While […] The post Why Most AI Failures Are Systems Failures, Not Model Failures appeared first on IEEE Computer Society.