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Beyond the Algorithm: AI, Security, Privacy, and Ethics
As artificial intelligence (AI) becomes more and more woven into our everyday lives—and underpins so much of the infrastructure we rely on—the ethical, security, and privacy implications require a critical approach that draws not simply on the programming and algorithmic foundations of the technology.
Bringing together legal studies, philosophy, cybersecurity, and academic literature, Beyond the Algorithm examines these complex issues with a comprehensive, easy-to-understand analysis and overview. The book explores the ethical challenges that professionals—and, increasingly, users—are encountering as AI becomes not just a promise of the future, but a powerful tool of the present.
An overview of the history and development of AI, from the earliest pioneers in machine learning to current applications and how it might shape the future Introduction to AI models and implementations, as well as examples of emerging AI trends Examination of vulnerabilities, including insight into potential real-world threats, and best practices for ensuring a safe AI deployment Discussion of how to balance accountability, privacy, and ethics with regulatory and legislative concerns with advancing AI technology A critical perspective on regulatory obligations, and repercussions, of AI with copyright protection, patent rights, and other intellectual property dilemmas An academic resource and guide for the evolving technical and intellectual challenges of AI Leading figures in the field bring to life the ethical issues associated with AI through in-depth analysis and case studies in this comprehensive examination.
Bringing together legal studies, philosophy, cybersecurity, and academic literature, Beyond the Algorithm examines these complex issues with a comprehensive, easy-to-understand analysis and overview. The book explores the ethical challenges that professionals—and, increasingly, users—are encountering as AI becomes not just a promise of the future, but a powerful tool of the present.
An overview of the history and development of AI, from the earliest pioneers in machine learning to current applications and how it might shape the future Introduction to AI models and implementations, as well as examples of emerging AI trends Examination of vulnerabilities, including insight into potential real-world threats, and best practices for ensuring a safe AI deployment Discussion of how to balance accountability, privacy, and ethics with regulatory and legislative concerns with advancing AI technology A critical perspective on regulatory obligations, and repercussions, of AI with copyright protection, patent rights, and other intellectual property dilemmas An academic resource and guide for the evolving technical and intellectual challenges of AI Leading figures in the field bring to life the ethical issues associated with AI through in-depth analysis and case studies in this comprehensive examination.
336 pages, Paperback
Published January 30, 2024
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Displaying 1 - 2 of 2 reviews
May 16, 2025
Great security primer for MLOps engineers or AI/ML primer for security engineers. Either way a very readable and practical review of security and privacy issues in current use of AI models. Trying to cover a broad range of threats and possible mitigations so it doesn't go too deep. Code snippets and end-of-chapter exercises help getting a good grasp of the content. Omar Santos has a rich repository on GitHub beyond his AI research: github.com/The-Art-of-Hacking/h4cker
February 2, 2025
Great read.
While the idea of responsible AI is somewhat of a running joke - given the black box that is transformers and companies eager to just plug and play with OpenAI without due diligence,
This book shares some good examples of what proper data protection and responsible AI looks like + takes a hint from software engineering and creates patterns for applying it.
I also appreciate the code samples to test out different security issues!
While the idea of responsible AI is somewhat of a running joke - given the black box that is transformers and companies eager to just plug and play with OpenAI without due diligence,
This book shares some good examples of what proper data protection and responsible AI looks like + takes a hint from software engineering and creates patterns for applying it.
I also appreciate the code samples to test out different security issues!
Displaying 1 - 2 of 2 reviews