Medium
3 months agoArtificial intelligence
How to save your product UX when the AI goes wrong
Errors in machine learning are more common than in rule-based systems, leading to challenges in identifying and managing them.
Differentiating the criticality of errors is crucial in product development to prioritize and fix issues effectively. [ more ]