Browse The Most Popular 129 Python Explainable Ai Open Source Projects. Second, when features interact, a single feature alone may not suffice for recourse. The AAAI Conference on Artificial Intelligence promotes theoretical and applied AI research as well as intellectual interchange among researchers and practitioners. Tutorial Outline. GitHub - rguo12/awesome-causality-algorithms: An index of … Data analysts and data scientists want to learn about AI tools and techniques that are easy to understand. f(x) Applicant. Explainable We design a novel optimization-based approach to generate coherent counterfactual explanations, which is … arXiv preprint arXiv:1905.07697 (2019). Counterfactuals about what could have happened are increasingly used in an array of Artificial Intelligence (AI) applications, and especially in explainable AI (XAI). Provide Counterfactual Explanations Generate Counterfactual Explanations Explore More. We take a structural approach to the problem of explainable AI, examine the feasibility of these aspects and extend them where appropriate. Keywords: generative adversarial networks, explainable AI, machine learning, counterfactual explanations, interpretable machine learning, image-to-image translation Citation: Mertes S, Huber T, Weitz K, Heimerl A and André E (2022) GANterfactual—Counterfactual Explanations for Medical Non-experts Using Generative … Explainable Ai ... How Duolingo Uses AI to Assess, Engage and Teach Better. Home Conferences KDD Proceedings KDD '21 Counterfactual Explanations in Explainable AI: A Tutorial.