Description: Explainable Artificial Intelligence Xai : Concepts, Enabling Tools, Technologies and Applications, Hardcover by Raj, Pethuru (EDT); Köse, Utku (EDT); Sakthivel, Usha (EDT); Nagarajan, Susila (EDT); Asirvadam, Vijanth Sagayan (EDT), ISBN 1839536950, ISBN-13 9781839536953, Brand New, Free shipping in the US The world is keen to leverage multi-faceted AI techniques and tools to deploy and deliver the next generation of business and IT applications. Resource-intensive gadgets, machines, instruments, appliances, and equipment spread across a variety of environments are empowered with AI competencies. Connected products are collectively or individually enabled to be intelligent in their operations, offering and output. AI is being touted as the next-generation technology to visualize and realize a bevy of intelligent systems, networks and environments. However, there are challenges being associated with the huge adoption of AI methods. As we give full control to AI systems to take decisions, we need to know how these AI models reach their decisions. Trust and transparency of AI systems are being seen as a critical challenge. Building knowledge graphs and linking them with AI systems are being recommended as a viable solution for overcoming this trust issue and the way forward to fulfil the ideals of Explainable AI. The authors focus on Explainable AI concepts, tools, frameworks and techniques. To make the working of AI more transparent, they introduce knowledge graphs (KG) to support the need for trust and transparency into the functioning of AI systems. They show how these technologies can be used towards explaining data fabric solutions and how Intelligent applications can be used to greater effect in finance and healthcare.
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Book Title: Explainable Artificial Intelligence Xai : Concepts, Enabling Tool
Number of Pages: 530 Pages
Publication Name: Explainable Artificial Intelligence (Xai) : concepts, Enabling Tools, Technologies and Applications
Language: English
Publisher: Institution of Engineering & Technology
Publication Year: 2023
Subject: Intelligence (Ai) & Semantics, General, Social Aspects / Human-Computer Interaction
Type: Textbook
Author: Utku Köse
Item Length: 9.2 in
Subject Area: Computers, Science
Item Width: 6.1 in
Series: Computing and Networks Ser.
Format: Hardcover
