Beyond the Algorithm: AI, Security, Privacy, and Ethics

Beyond the Algorithm: AI, Security, Privacy, and Ethics

by Omar Santos, Petar Radanliev
Released January 2024
Publisher(s): Addison-Wesley Professional
ISBN: 9780138268442

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Book description

This book is a comprehensive, cutting-edge guide designed to educate readers on the essentials of artificial intelligence (AI) and machine learning (ML), while emphasizing the crucial aspects of security, ethics, and privacy. The book aims to equip AI practitioners, IT professionals, data scientists, security experts, policy-makers, and students with the knowledge and tools needed to develop, deploy, and manage AI and ML systems securely and responsibly.

The book is divided into several sections, each focusing on a specific aspect of AI. It begins by introducing the fundamentals of AI technolgies, providing an overview of their history, development, and various types. This is followed by a deep dive into popular AI algorithms and large language models (LLMs), including GPT-4, that are at the forefront of AI innovation.

Next, the book explores the critical security aspects of AI systems, examining the importance of security and the key challenges faced in this domain. It also delves into the common threats, vulnerabilities, and attack vectors, as well as risk assessment and management strategies. This manuscript covers data security, model security, system and infrastructure security, secure development practices, monitoring and auditing, supply chain security, and secure deployment and maintenance.

Another key focus of the book is privacy and ethical considerations in AI systems. Topics covered include bias and fairness, transparency and accountability, and privacy and data protection. The book also addresses legal and regulatory compliance, providing an overview of relevant regulations and guidelines, and discussing how to ensure compliance in AI systems through case studies and best practices.This book is a comprehensive, cutting-edge guide designed to educate readers on the essentials of artificial intelligence (AI) and machine learning (ML), while emphasizing the crucial aspects of security, ethics, and privacy. The book aims to equip AI practitioners, IT professionals, data scientists, security experts, policy-makers, and students with the knowledge and tools needed to develop, deploy, and manage AI and ML systems securely and responsibly.

Table of contents

  1. Cover Page
  2. About This eBook
  3. Halftitle Page
  4. Title Page
  5. Copyright Page
  6. Credits
  7. Dedication Page
  8. Contents
  9. Preface
    1. Goals/Objectives/Approach of the Book
    2. Targeted Reading Audience
    3. Book Organization
  10. Acknowledgments
  11. About the Authors
  12. 1. Historical Overview of Artificial Intelligence (AI) and Machine Learning (ML)
    1. The Story of Eva
    2. The Origins
    3. Advancements of Artificial Intelligence
    4. Understanding AI and ML
    5. Concluding the Story of Eva
    6. Summary
    7. Test Your Skills
    8. Exercise 1-1: Exploring the Historical Development and Ethical Concerns of AI
    9. Exercise 1-2: Understanding AI and ML
    10. Exercise 1-3: Comparison of ML Algorithms
    11. Exercise 1-4: Assessing Applications of ML Algorithms
  13. 2. Fundamentals of AI and ML Technologies and Implementations
    1. What Are the Leading AI and ML Technologies and Algorithms?
    2. ChatGPT and the Leading AI and ML Technologies: Exploring Capabilities and Applications
    3. Understanding the Two Categories of AI: Capability-Based Types and Functionality-Based Types
    4. Leveraging AI and ML to Tackle Real-World Challenges: A Case Study
    5. Reflecting on the Societal and Ethical Implications of AI Technologies
    6. Assessing Future Trends and Emerging Developments in AI and ML Technologies
    7. Summary
    8. Test Your Skills
    9. Exercise 2-1: Algorithm Selection Exercise: Matching Scenarios with Appropriate Machine Learning Techniques
    10. Exercise 2-2: Exploring AI and ML Technologies
    11. Exercise 2-3: Capabilities and Benefits of AI-Optimized Hardware
    12. Exercise 2-4: Understanding the Two Categories of AI
    13. Exercise 2-5: Future Trends and Emerging Developments in AI and ML Technologies
  14. 3. Generative AI and Large Language Models
    1. Introduction to Generative AI and LLMs
    2. Large Language Models (LLMs): Revolutionizing Natural Language Processing (NLP)
    3. Hugging Face
    4. Auto-GPT: A Revolutionary Step in Autonomous AI Applications
    5. Summary
    6. Test Your Skills
    7. Exercise 3-1: Hugging Face
    8. Exercise 3-2: Transformers in AI
    9. Additional Resources
  15. 4. The Cornerstones of AI and ML Security
    1. Recognizing the Need for AI Security
    2. Adversarial Attacks
    3. Data Poisoning Attacks
    4. OWASP Top Ten for LLMs
    5. Membership Inference Attacks
    6. Evasion Attacks
    7. Model Inversion Attacks
    8. Backdoor Attacks
    9. Exploring Defensive Measures
    10. Summary
    11. Test Your Skills
    12. Additional Resources
  16. 5. Hacking AI Systems
    1. Hacking FakeMedAI
    2. MITRE ATLAS
    3. A Deep Dive into the AI and ML Attack Tactics and Techniques
    4. Exploiting Prompt Injection
    5. Red-Teaming AI Models
    6. Summary
    7. Test Your Skills
    8. Exercise 5-1: Understanding the MITRE ATT&CK Framework
    9. Exercise 5-2: Exploring the MITRE ATLAS Framework
  17. 6. System and Infrastructure Security
    1. The Vulnerabilities and Risks Associated with AI Systems and Their Potential Impact
    2. AI BOMs
    3. Data Security Vulnerabilities
    4. Cloud Security Vulnerabilities
    5. Secure Design Principles for AI Systems
    6. AI Model Security
    7. Infrastructure Security for AI Systems
    8. Threat Detection and Incident Response for AI Systems
    9. Additional Security Technologies and Considerations for AI Systems
    10. Summary
    11. Test Your Skills
    12. Additional Resources
  18. 7. Privacy and Ethics: Navigating Privacy and Ethics in an AI-Infused World
    1. Why Do We Need to Balance the Benefits of AI with the Ethical Risks and Privacy Concerns?
    2. What Are the Challenges Posed by AI in Terms of Privacy Protection, and What Is the Importance of Privacy and Ethics in AI Development and Deployment?
    3. The Dark Side of AI and ChatGPT: Privacy Concerns and Ethical Implications
    4. Data Collection and Data Storage in AI Algorithms: Potential Risks and Ethical Privacy Concerns
    5. The Moral Tapestry of AI and ChatGPT
    6. Preserving Privacy, Unleashing Knowledge: Differential Privacy and Federated Learning in the Age of Data Security
    7. Harmony in the Machine: Nurturing Fairness, Diversity, and Human Control in AI Systems
    8. Real-World Case Study Examples and Fictional Stories of Privacy Breaches in AI and ChatGPT
    9. Summary
    10. Test Your Skills
    11. Exercise 7-1: Privacy Concerns and Ethical Implications of AI
    12. Exercise 7-2: Ethical Privacy Concerns in Data Collection and Storage by AI Algorithms
    13. Exercise 7-3: Balancing Autonomy and Privacy in the Age of AI
    14. Exercise 7-4: Safeguarding Privacy and Ethical Frontiers
  19. 8. Legal and Regulatory Compliance for AI Systems
    1. Legal and Regulatory Landscape
    2. Compliance with AI Legal and Regulatory Data Protection Laws
    3. Intellectual Property Issues in Conversational AI
    4. Unraveling Liability and Accountability in the Age of AI
    5. Ethical Development and Deployment of AI Systems: Strategies for Effective Governance and Risk Management
    6. International Collaboration and Standards in AI
    7. Future Trends and Outlook in AI Compliance
    8. Unleashing the Quantum Storm: Fictional Story on AI Cybersecurity, Quantum Computing, and Novel Cyberattacks in Oxford, 2050
    9. Summary
    10. Test Your Skills
    11. Exercise 8-1: Compliance with Legal and Regulatory Data Protection Laws
    12. Exercise 8-2: Understanding Liability and Accountability in AI Systems
    13. Exercise 8-3: International Collaboration and Standards in AI
  20. Appendix A. Test Your Skills Answers and Solutions
  21. Index
  22. Code Snippets

Product information

  • Title: Beyond the Algorithm: AI, Security, Privacy, and Ethics
  • Author(s): Omar Santos, Petar Radanliev
  • Release date: January 2024
  • Publisher(s): Addison-Wesley Professional
  • ISBN: 9780138268442