Название: Model Performance Management with Explainable AI: Build High Performance Responsible AIАвтор: Amit Paka, Krishna Gade, Danny Farah
Издательство: O’Reilly Media, Inc.
Год: 2021-11-22
Страниц: 82
Язык: английский
Формат: epub
Размер: 10.1 MB
Artificial Intelligence (AI) has the potential to provide productive, efficient, and innovative solutions to everyday problems. But it comes with risks. Multiple examples of alleged bias in AI have been reported in recent years, and many people were already affected by the time those issues surfaced. This could have been avoided if humans had visibility into every stage of the system life cycle. Explainable AI (XAI) is a form of AI that aims at creating Machine Learning models that are, for the most part, explainable and/or interpretable by humans. XAI evolved out of the need to break open the black box of AI models to make them interpretable by humans, with the intent of minimizing the risk of unknown or unpredictable outcomes from those models. XAI is not only relevant for regulatory and legal reasons, but it is also an important tool for monitoring and managing model performance.
Название: Security in Wireless Communication Networks
