"Why Should I Trust You?"

Key Points

• This research focuses on how understanding predictions from machine learning models can build trust.
• Discusses the characteristics of machine learning models as black boxes.
• Analyzes the significance of model transparency in aiding decision-making.
• Examines strategies for transforming untrustworthy predictions into reliable outputs.
• Establishes that understanding predictions enhances user trust in machine learning applications.
• Highlights that insights gained from model transparency can improve prediction accuracy.
• Suggests that trust is crucial for the deployment of machine learning models.

Abstract