Building Ethical and Secure AI by Roberto Andrade (.ePUB)+
File Size: 14.5 MB
Building Ethical and Secure AI: Principles, Practices, and Challenges for the Next Generation (Synthesis Lectures on Computer Science) by Roberto Andrade, Carlos Ayala, Paulina Morillo
Requirements: .ePUB, .PDF reader, 14.5 MB | True PDF, True EPUB
Overview: This book aims to provide a comprehensive perspective on the growing challenges posed by Artificial Intelligence (AI) for researchers and professionals. The book examines critical security issues, such as attacks and vulnerabilities, as well as ethical principles that impact fairness, transparency, accountability, and inclusiveness in AI solutions. Its primary goal is to equip readers with the knowledge and tools necessary to design and govern AI systems that align with the principles of social good, fostering responsible and sustainable innovation in the rapidly evolving AI landscape. This book bridges the fields of ethics and security in AI. It covers foundational principles, practical frameworks, and emerging challenges, equipping students and practitioners with tools to design and govern ethical and secure AI systems. With case studies, activities, and real-world examples, the book emphasizes responsible AI applications in fields such as healthcare, sustainability, and cybersecurity. Explainable Artificial Intelligence (XAI) refers to a set of methods and principles aimed at making the decision-making processes of AI systems—especially complex models such as deep neural networks—understandable to humans. The goal of XAI is to enhance trust, transparency, and accountability by providing insights into how and why a model reaches a particular prediction.
Genre: Non-Fiction > Tech & Devices
Free Download links: