Explainable AI (XAI) for Sustainable Development: Trends and Applications by Lakshmi D, Ravi Shekhar Tiwari, Rajesh Kumar Dhanaraj
Requirements: .PDF reader, 20.9 MB
Overview: This book presents innovative research works to automate, innovate, design, and deploy Artificial Intelligence (AI) for Real-World Applications. It discussed AI applications in major cutting-edge technologies and details about deployment solutions for different applications for sustainable development. The application of Blockchain techniques illustrates the ways of optimisation algorithms in this book. The challenges associated with AI deployment are also discussed in detail, and edge computing with Machine Learning solutions is explained. This book provides multi-domain applications of AI to the readers to help find innovative methods towards the business, sustainability, and customer outreach paradigms in the AI domain. Artificial Intelligence has rapidly permeated our lives, transforming industries, healthcare, and our interactions with technology. While AI promises innovation and efficiency, its opacity and complexity raise concerns about trust, accountability, and ethical implications. To address these challenges, Explainable AI (XAI) emerged, bridging the gap between Machine Learning and human understanding. XAI seeks to explain how AI systems make decisions, ensure their trustworthiness, and evaluate their societal and ethical impact. This book provides a multifaceted realm of XAI, covering its theoretical foundations, practical applications, and ethical considerations. Through expert insights, real‑world examples, and accessible explanations, we demystify XAI’s complexities for a wide audience. Along the way, we explore the black box of AI models, learn various interpretation techniques, and examine responsible AI development and deployment.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://tbit.to/iq6n7xoq999l.html
https://katfile.com/ciwa7ylqeues/Explainable_AI_(XAI)_for_Sustainable_Development.pdf.html
Trouble downloading? Read This.
Requirements: .PDF reader, 20.9 MB
Overview: This book presents innovative research works to automate, innovate, design, and deploy Artificial Intelligence (AI) for Real-World Applications. It discussed AI applications in major cutting-edge technologies and details about deployment solutions for different applications for sustainable development. The application of Blockchain techniques illustrates the ways of optimisation algorithms in this book. The challenges associated with AI deployment are also discussed in detail, and edge computing with Machine Learning solutions is explained. This book provides multi-domain applications of AI to the readers to help find innovative methods towards the business, sustainability, and customer outreach paradigms in the AI domain. Artificial Intelligence has rapidly permeated our lives, transforming industries, healthcare, and our interactions with technology. While AI promises innovation and efficiency, its opacity and complexity raise concerns about trust, accountability, and ethical implications. To address these challenges, Explainable AI (XAI) emerged, bridging the gap between Machine Learning and human understanding. XAI seeks to explain how AI systems make decisions, ensure their trustworthiness, and evaluate their societal and ethical impact. This book provides a multifaceted realm of XAI, covering its theoretical foundations, practical applications, and ethical considerations. Through expert insights, real‑world examples, and accessible explanations, we demystify XAI’s complexities for a wide audience. Along the way, we explore the black box of AI models, learn various interpretation techniques, and examine responsible AI development and deployment.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://tbit.to/iq6n7xoq999l.html
https://katfile.com/ciwa7ylqeues/Explainable_AI_(XAI)_for_Sustainable_Development.pdf.html
Trouble downloading? Read This.