Joao Marques-Silva

Addressing the issues of SHAP scores for better model explanation.

Advancements in explainable AI enhance understanding of complex ML models.

Examining new methods for understanding feature contributions in machine learning.

Exploring the role of logic-based methods in AI decision-making transparency.

SHAP scores can mislead AI model predictions and decision-making.

Explore how contrastive explanations enhance trust and understanding in machine learning models.