Luis von Ahn (ends 8:30 AM) 8:30 a.m. In this chapter and section, we will be exploring AI explanations in a unique way. It discusses the need for counterfactual and contrastive explanations, the working principle, and mathematical modeling of various techniques like Diverse Counterfactual Explanations (DiCE) for generating actionable counterfactuals. Cloud Computing 79. Counterfactual explanations, which I introduced in one of my previous posts 1, offer a simple and intuitive way to explain black-box models without opening them.Still, as of today there exists only one open-source library that provides a unifying approach to generate and benchmark counterfactual explanations for models built and trained in Python (Pawelczyk et … “That's (not) the output I expected!” On the role of end user ... Arguably, the most popular among them are local explanations that focus on investigating model behaviour … Browse The Most Popular 129 Python Explainable Ai Open Source Projects. Home Conferences KDD Proceedings KDD '21 Counterfactual Explanations in Explainable AI: A Tutorial. Alibi. They want to learn how to use Python for machine. In the first part of the tutorial, we give an introduction to the different aspects of explanations in AI. 9 The Counterfactual Explanations Method. AI diagnosis. In this tutorial, we will introduce the cognitive concept and characteristics of counterfactual explanation, its computational form, mainstream methods, and various adaptation in terms of different explanation settings. the underlying model, producing accurate feedback. Such explanations are certainly useful to a person facing the decision, but they are also useful to system builders and evaluators in debugging the algorithm. Selecting Intelligibility Types for Explanation Goals. (True|False) False. They want to learn how to use Python for machine. Aix360 ⭐ 1,058. Provide Counterfactual Explanations Generate Counterfactual Explanations Explore More. The Counterfactual Explanations Method – Hands-On Explainable …