Generative AI, Cybersecurity, and Ethics
Author: Mohammad Rubyet Islam (Author)
Publisher finelybook 出版社: Wiley
Edition 版本: 1st edition
Publication Date 出版日期: 2024-12-17
Language 语言: English
Print Length 页数: 384 pages
ISBN-10: 1394279264
ISBN-13: 9781394279265
Book Description
Book Description
“Generative AI, Cybersecurity, and Ethics’ is an essential guide for students, providing clear explanations and practical insights into the integration of generative AI in cybersecurity. This book is a valuable resource for anyone looking to build a strong foundation in these interconnected fields.”
―Dr. Peter Sandborn, Professor, Department of Mechanical Engineering, University of Maryland, College Park
“Unchecked cyber-warfare made exponentially more disruptive by Generative AI is nightmare fuel for this and future generations. Dr. Islam plumbs the depth of Generative AI and ethics through the lens of a technology practitioner and recognized AI academician, energized by the moral conscience of an ethical man and a caring humanitarian. This book is a timely primer and required reading for all those concerned about accountability and establishing guardrails for the rapidly developing field of AI.”
―David Pere, (Retired Colonel, United States Marine Corps) CEO & President, Blue Force Cyber Inc.
Equips readers with the skills and insights necessary to succeed in the rapidly evolving landscape of Generative AI and cyber threats
Generative AI (GenAI) is driving unprecedented advances in threat detection, risk analysis, and response strategies. However, GenAI technologies such as ChatGPT and advanced deepfake creation also pose unique challenges. As GenAI continues to evolve, governments and private organizations around the world need to implement ethical and regulatory policies tailored to AI and cybersecurity.
Generative AI, Cybersecurity, and Ethics provides concise yet thorough insights into the dual role artificial intelligence plays in both enabling and safeguarding against cyber threats. Presented in an engaging and approachable style, this timely book explores critical aspects of the intersection of AI and cybersecurity while emphasizing responsible development and application. Reader-friendly chapters explain the principles, advancements, and challenges of specific domains within AI, such as machine learning (ML), deep learning (DL), generative AI, data privacy and protection, the need for ethical and responsible human oversight in AI systems, and more.
Incorporating numerous real-world examples and case studies that connect theoretical concepts with practical applications, Generative AI, Cybersecurity, and Ethics:
- Explains the various types of cybersecurity and describes how GenAI concepts are implemented to safeguard data and systems
- Highlights the ethical challenges encountered in cybersecurity and the importance of human intervention and judgment in GenAI
- Describes key aspects of human-centric AI design, including purpose limitation, impact assessment, societal and cultural sensitivity, and interdisciplinary research
- Covers the financial, legal, and regulatory implications of maintaining robust security measures
- Discusses the future trajectory of GenAI and emerging challenges such as data privacy, consent, and accountability
Blending theoretical explanations, practical illustrations, and industry perspectives, Generative AI, Cybersecurity, and Ethics is a must-read guide for professionals and policymakers, advanced undergraduate and graduate students, and AI enthusiasts interested in the subject.
Review
“There are few disciplines that have evolved with greater velocity in the last decade, both for the better and for the worse, than cybersecurity and generative AI. Ethical development and administration of these paradigms, particularly in concert, is a staggeringly blurry area that Dr. Islam takes the first steps to bring clarity to with this work. Disregard the teachings of this book at your own risk!” -Brian Dougherty, PhD, VP of Engineering, Snappt
“Generative AI, Cybersecurity, and Ethics is an essential guide for students, providing clear explanations and practical insights into the integration of generative AI in cybersecurity. This book is a valuable resource for anyone looking to build a strong foundation in these interconnected fields.” Peter A. Sandborn, Keystone Professor, A. James Clark School of Engineering, University of Maryland
“This book dives into the interconnected realms of generative AI and cybersecurity crafted with the guidance in ethics. It offers a comprehensive exploration of their interplay in today’s digital landscape, and empowers students, educators and practitioners alike.” -Woei-jyh (Adam) Lee, PhD, Associate Clinical Professor, Robert H. Smith School of Business, University of Maryland
“The advent of generative AI marked a tectonic shift that has created both incredible opportunities and deep vulnerabilities for us all. In the midst of such fundamental change, this timely and critical book will provide a much-needed guide for those seeking to understand and navigate this new era of intelligence.” -Fiona J McEvoy, Founder, YouTheData.com
“Generative AI, Cybersecurity, and Ethics is a groundbreaking book that delves into three of the most relevant and pressing topics in today’s technological landscape. By exploring the intersection of artificial intelligence, cybersecurity, and ethical considerations, this book offers invaluable insights for both experts in the field and those looking to understand the complexities of these rapidly evolving technologies. One of the standout features of Generative AI, Cybersecurity, and Ethics is its in-depth analysis of cybersecurity in the age of artificial intelligence. As cyber threats continue to evolve and become more sophisticated, it is crucial for individuals and organizations to understand how AI can be used both defensively and offensively in the realm of cybersecurity. Generative AI, Cybersecurity, and Ethics is a must-read for anyone interested in understanding the intricate relationship between artificial intelligence, cybersecurity, and ethical considerations. The author expertise in the field shines through in the comprehensive coverage of these complex topics, making the book both informative and accessible to a wide range of readers. Whether you are a seasoned professional in the tech industry or simply curious about the impact of AI on our world, this book is sure to enlighten and inspire you. I highly recommend Generative AI, Cybersecurity, and Ethics as an essential addition to your reading list.” -Dr. Christos P. Beretas, PhD, Head Professor of Cyber Security at Innovative Knowledge Institute, France
“AI is here to stay, and the US government knows this. In March of 2024, the Office of Management and Budget (OMB) issued Memorandum M-24-10 to guide federal agencies on the responsible use of AI, outlining directives and practices aimed at ensuring that AI technologies are used ethically, transparently, and effectively in government operations. The author of this book, Dr. Islam, and the U.S. White House recognize the importance, impacts, and inherent risks associated with this perplexing topic. Fortunately, this book will be an essential resource to those responsible for taking on the ever-present cybersecurity threats in the midst of this emerging AI landscape, while gaining insights into ethical considerations surrounding the creation and integration of such technologies.” -Jared Linder, IT Program Manager for the Export-Import Bank of the United States
“Cybersecurity is not a bolt-on activity or exercise, but an integral and initial component of any system development or modification. The practitioner must have an adherence to excellence, and be confident that they are adding value in support of the client’s organizational goals, and objectives, whilst lessoning their risk and vulnerabilities, and creating efficiencies.” -Paul Wells, Northwestern Division, U.S. Army Corps of Engineers
“Unchecked cyber-warfare made exponentially more disruptive by Generative AI is nightmare fuel for this and future generations. Dr. Islam plumbs the depth of Generative AI and ethics through the lens of a technology practitioner and recognized AI academician, energized by the moral conscience of an ethical man and a caring humanitarian. This book is a timely primer and required reading for all those concerned about accountability and establishing guardrails for the rapidly developing field of AI.” -David Pere, (Retired Colonel, United States Marine Corps) CEO & President, Blue Force Cyber Inc.
From the Back Cover
“Generative AI, Cybersecurity, and Ethics’ is an essential guide for students, providing clear explanations and practical insights into the integration of generative AI in cybersecurity. This book is a valuable resource for anyone looking to build a strong foundation in these interconnected fields.”
―Dr. Peter Sandborn, Professor, Department of Mechanical Engineering, University of Maryland, College Park
“Unchecked cyber-warfare made exponentially more disruptive by Generative AI is nightmare fuel for this and future generations. Dr. Islam plumbs the depth of Generative AI and ethics through the lens of a technology practitioner and recognized AI academician, energized by the moral conscience of an ethical man and a caring humanitarian. This book is a timely primer and required reading for all those concerned about accountability and establishing guardrails for the rapidly developing field of AI.”
―David Pere, (Retired Colonel, United States Marine Corps) CEO & President, Blue Force Cyber Inc.
Equips readers with the skills and insights necessary to succeed in the rapidly evolving landscape of Generative AI and cyber threats
Generative AI (GenAI) is driving unprecedented advances in threat detection, risk analysis, and response strategies. However, GenAI technologies such as ChatGPT and advanced deepfake creation also pose unique challenges. As GenAI continues to evolve, governments and private organizations around the world need to implement ethical and regulatory policies tailored to AI and cybersecurity.
Generative AI, Cybersecurity, and Ethics provides concise yet thorough insights into the dual role artificial intelligence plays in both enabling and safeguarding against cyber threats. Presented in an engaging and approachable style, this timely book explores critical aspects of the intersection of AI and cybersecurity while emphasizing responsible development and application. Reader-friendly chapters explain the principles, advancements, and challenges of specific domains within AI, such as machine learning (ML), deep learning (DL), generative AI, data privacy and protection, the need for ethical and responsible human oversight in AI systems, and more.
Incorporating numerous real-world examples and case studies that connect theoretical concepts with practical applications, Generative AI, Cybersecurity, and Ethics:
- Explains the various types of cybersecurity and describes how GenAI concepts are implemented to safeguard data and systems
- Highlights the ethical challenges encountered in cybersecurity and the importance of human intervention and judgment in GenAI
- Describes key aspects of human-centric AI design, including purpose limitation, impact assessment, societal and cultural sensitivity, and interdisciplinary research
- Covers the financial, legal, and regulatory implications of maintaining robust security measures
- Discusses the future trajectory of GenAI and emerging challenges such as data privacy, consent, and accountability
Blending theoretical explanations, practical illustrations, and industry perspectives, Generative AI, Cybersecurity, and Ethics is a must-read guide for professionals and policymakers, advanced undergraduate and graduate students, and AI enthusiasts interested in the subject.
About the Author
Dr. Ray Islam (Mohammad Rubyet Islam) has served as a Lecturer in Cyber Security at ACES Honors College, University of Maryland, College Park, and as an Adjunct Professor in Natural Language Processing at George Mason University. He has held strategic and leadership roles in Generative AI and Cyber Security at esteemed firms like Deloitte, Lockheed Martin, Booz Allen, Raytheon, and the American Institutes for Research. He has published numerous journal articles and papers on Artificial Intelligence and Generative AI and has presented at prestigious conferences. He actively contributes to the academic community as a reviewer for the journal Reliability Engineering & System Safety and serves as Associate Editor for the Journal of Prognostics and Health Management.
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