User Control and Understanding in Machine Learning-Driven UIs

The article's core question is crucial for responsible AI product development, highlighting the potential usability issues of complex machine learning models. Addressing user agency and explainability in UI design is paramount to building trustworthy AI systems.

• •Machine learning driven UIs can be opaque to users, creating challenges for control and understanding.
• •Explainability and user agency are key design considerations to improve user trust and usability.
• •Further research is required to determine the best design patterns for ML-driven UIs.