Resultado de búsqueda
Explainable artificial intelligence (XAI) is a set of processes and methods that allows human users to comprehend and trust the results and output created by machine learning algorithms. Explainable AI is used to describe an AI model, its expected impact and potential biases.
Hace 4 días · Machine learning has great potential for improving products, processes and research. But computers usually do not explain their predictions which is a barrier to the adoption of machine learning. This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn ...
17 de ago. de 2023 · Explainability in machine learning means that you can explain what happens in your model from input to output. It makes models transparent and solves the black box problem. Explainable AI (XAI) is the more formal way to describe this and applies to all artificial intelligence.
As the demand for more explainable machine learning models with interpretable predictions rises, so does the need for methods that can help to achieve these goals. This survey will focus on providing an extensive and in-depth identification, analysis, and comparison of machine learning interpretability methods.
1 de jul. de 2021 · To this end, we first provide general perspectives on explainable machine learning that covers: notions of transparency, criteria for evaluating explainability, as well as the type of explanations one can expect in general. We then turn to some frameworks for summarizing developments on explainable machine learning.
28 de feb. de 2023 · Interpretability and explainability are essential principles of machine learning model and method design and development for medicine, economics, law, and natural sciences applications. Over the last 30 years, many techniques motivated by these properties have been developed.
18 de nov. de 2021 · Explainable Artificial Intelligence: Concepts and Current Progression. Chapter © 2023. Methods and Metrics for Explaining Artificial Intelligence Models: A Review. Chapter © 2023. 1 Introduction. Artificial intelligence (AI) has been considered the most prevalent technology over the last couple of decades.
