Description: Ai Assurance : Towards Trustworthy, Explainable, Safe, and Ethical Ai, Paperback by Batarseh, Feras A. (EDT); Freeman, Laura (EDT), ISBN 0323919197, ISBN-13 9780323919197, Brand New, Free shipping in the US AI Assurance: Towards Trustworthy, Explainable, Safe, and Ethical AI provides readers with solutions and foundational understanding of the methods that can be applied to test AI systems and provide assurance. Anyone developing software systems with intelligence, building learning algorithms, or deploying AI to a domain-specific problem (such as allocating cyber breaches, analyzing causation at a smart farm, reducing readmissions at a hospital, ensuring soldiers’ safety in the battlefield, or predicting exports of one country to another) will benefit from the methods presented in this book. AI assurance is now a major piece in AI and engineering research, and this book serves as a guide to researchers, scientists, and students in their studies and experimentation with AI. Moreover, as AI is being increasingly discussed and utilized at government and policymaking venues, the assurance of AI systems –as presented in this book– is at the nexus of such debates. Provides readers with in-depth understanding of how to develop and apply Artificial Intelligence in a valid, explainable, fair, and ethical manner Includes description of providing assurance to various AI methods, including Deep Learning, Machine Learning, Reinforcement Learning, Computer Vision, Agent-Based Systems, Natural Language Processing, Text Mining, Predictive Analytics, Prescriptive Analytics, Knowledge-Based Systems, and Evolutionary Algorithms Presents techniques for efficient and secure development of intelligent systems in a variety of domains, such as healthcare, cyber security, government, energy, education, and more Provides readers with complete example datasets associated with the methods and algorithms developed in th
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Book Title: Ai Assurance : Towards Trustworthy, Explainable, Safe, and Ethica
Number of Pages: 448 Pages
Language: English
Publication Name: Ai Assurance : Towards Trustworthy, Explainable, Safe, and Ethical Ai
Publisher: Elsevier Science & Technology
Publication Year: 2022
Subject: Biotechnology, Biomedical
Type: Textbook
Subject Area: Technology & Engineering, Science
Author: Laura Freeman
Item Length: 9.2 in
Item Width: 7.5 in
Format: Trade Paperback
