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Areas Served: ExplainableAI (XAI)
Author(s): Data Science meets Cyber Security Originally published on Towards AI. Now Algorithms know what they are doing and why! INTRODUCTION: Hello, technophiles and curious minds. Welcome to the next chapter of the book Artificial Intelligence. Let us go further into the …
AI in Finance Panel: Accelerating AI Risk Mitigation with XAI and Continuous Monitoring
Author(s): Anusha Sethuraman Originally published on Towards AI. Artificial Intelligence At the AI in Finance Summit, NY, in December 2020, Fiddler AI held a panel discussion on the state of responsible AI with a group of model risk specialists from the financial …
Unlock the Black Box: The Importance of Explainability in Machine Learning
Author(s): Janik and Patrick Tinz Originally published on Towards AI. An Overview of the Principles of Explainability Photo by Headway on Unsplash Machine learning (ML) has great potential for improving processes and products. A challenge is to explain the predictions of the …
What is Explainability AI?
Author(s): Louis Bouchard Originally published on Towards AI. Interview with Yotam Azriel, CTO at TensorLeap — What’s AI Episode 13 Join us this week for a fascinating conversation on the What’s AI podcast, where Yotam Azriel, co-founder of TensorLeap, shares his fascinating …
easy-explain: Explainable AI for images
Author(s): Stavros Theocharis Originally published on Towards AI. A quick and easy-to-use package for fast explainability results on images (Right) Photo by Tomas Allsop on Unsplash U+007C (Left) Unsplash Image adjusted by the showcased algorithm Introduction Understanding how artificial intelligence (AI) decides …
Understand AI Interpretability & Explainability
Author(s): Stavros Theocharis Originally published on Towards AI. Future trust depends on precise definitions Image generated by DALL-E Introduction It has become an urgent expectation to interpret and demystify black-box algorithms to increase their adoption. A growing number of organizations have begun …
What? How? Why? — In the World of Data Science!
Author(s): Deepak Sekar Originally published on Towards AI. In this article, we will see the three things that matter the most in the Data Science Process What — What is the Business requirement? What are the data sources and features? What is …
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