Generative AI, Cybersecurity, and Ethics
Equips listeners 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. Listener-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.
1145560161
Generative AI, Cybersecurity, and Ethics
Equips listeners 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. Listener-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.
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Generative AI, Cybersecurity, and Ethics

Generative AI, Cybersecurity, and Ethics

Generative AI, Cybersecurity, and Ethics

Generative AI, Cybersecurity, and Ethics

Overview

Equips listeners 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. Listener-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.

Product Details

ISBN-13: 9798228629912
Publisher: Recorded Books, LLC
Publication date: 10/14/2025
Product dimensions: 5.30(w) x 7.50(h) x (d)
Age Range: 18 Years

About the Author

Ray 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.

Ray Greenley is an Oregon-born narrator living near Philadelphia, Pennsylvania. He has many years of stage acting and narrating experience. In addition to his acting experience and training, Ray has a background in computer science. When not working in his professionally built voice-over booth, Ray enjoys spending time with his family of seven kids, several of whom he still reads to before bedtime. He also loves playing board, video, and role-playing games and being Cubmaster for his kids' Cub Scout Pack.
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Computers
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Computers
Science & Technology
Engineering
Technology
Artificial Intelligence (AI)
Robotics & Artificial Intelligence
Artificial Intelligence - General

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