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

Name: Beyond the Algorithm: AI, Security, Privacy, and Ethics
ISBN: 9780138268442

by Omar Santos, Petar Radanliev

January 2024

Beginner to intermediate

336 pages

10h 53m

English

Addison-Wesley Professional

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Cover Page
About This eBook
Halftitle Page
Title Page
Copyright Page
Credits
Dedication Page
Contents
Preface
Goals/Objectives/Approach of the BookTargeted Reading AudienceBook Organization
Acknowledgments

About the Authors
1. Historical Overview of Artificial Intelligence (AI) and Machine Learning (ML)
The Story of EvaThe OriginsAdvancements of Artificial IntelligenceUnderstanding AI and MLConcluding the Story of EvaSummaryTest Your SkillsExercise 1-1: Exploring the Historical Development and Ethical Concerns of AIExercise 1-2: Understanding AI and MLExercise 1-3: Comparison of ML AlgorithmsExercise 1-4: Assessing Applications of ML Algorithms
2. Fundamentals of AI and ML Technologies and Implementations
What Are the Leading AI and ML Technologies and Algorithms?ChatGPT and the Leading AI and ML Technologies: Exploring Capabilities and ApplicationsUnderstanding the Two Categories of AI: Capability-Based Types and Functionality-Based TypesLeveraging AI and ML to Tackle Real-World Challenges: A Case StudyReflecting on the Societal and Ethical Implications of AI TechnologiesAssessing Future Trends and Emerging Developments in AI and ML TechnologiesSummaryTest Your SkillsExercise 2-1: Algorithm Selection Exercise: Matching Scenarios with Appropriate Machine Learning TechniquesExercise 2-2: Exploring AI and ML TechnologiesExercise 2-3: Capabilities and Benefits of AI-Optimized HardwareExercise 2-4: Understanding the Two Categories of AIExercise 2-5: Future Trends and Emerging Developments in AI and ML Technologies
3. Generative AI and Large Language Models
Introduction to Generative AI and LLMsLarge Language Models (LLMs): Revolutionizing Natural Language Processing (NLP)Hugging FaceAuto-GPT: A Revolutionary Step in Autonomous AI ApplicationsSummaryTest Your SkillsExercise 3-1: Hugging FaceExercise 3-2: Transformers in AIAdditional Resources
4. The Cornerstones of AI and ML Security
Recognizing the Need for AI SecurityAdversarial AttacksData Poisoning AttacksOWASP Top Ten for LLMsMembership Inference AttacksEvasion AttacksModel Inversion AttacksBackdoor AttacksExploring Defensive MeasuresSummaryTest Your SkillsAdditional Resources
5. Hacking AI Systems
Hacking FakeMedAIMITRE ATLASA Deep Dive into the AI and ML Attack Tactics and TechniquesExploiting Prompt InjectionRed-Teaming AI ModelsSummaryTest Your SkillsExercise 5-1: Understanding the MITRE ATT&CK FrameworkExercise 5-2: Exploring the MITRE ATLAS Framework
6. System and Infrastructure Security
The Vulnerabilities and Risks Associated with AI Systems and Their Potential ImpactAI BOMsData Security VulnerabilitiesCloud Security VulnerabilitiesSecure Design Principles for AI SystemsAI Model SecurityInfrastructure Security for AI SystemsThreat Detection and Incident Response for AI SystemsAdditional Security Technologies and Considerations for AI SystemsSummaryTest Your SkillsAdditional Resources
7. Privacy and Ethics: Navigating Privacy and Ethics in an AI-Infused World
Why Do We Need to Balance the Benefits of AI with the Ethical Risks and Privacy Concerns?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?The Dark Side of AI and ChatGPT: Privacy Concerns and Ethical ImplicationsData Collection and Data Storage in AI Algorithms: Potential Risks and Ethical Privacy ConcernsThe Moral Tapestry of AI and ChatGPTPreserving Privacy, Unleashing Knowledge: Differential Privacy and Federated Learning in the Age of Data SecurityHarmony in the Machine: Nurturing Fairness, Diversity, and Human Control in AI SystemsReal-World Case Study Examples and Fictional Stories of Privacy Breaches in AI and ChatGPTSummaryTest Your SkillsExercise 7-1: Privacy Concerns and Ethical Implications of AIExercise 7-2: Ethical Privacy Concerns in Data Collection and Storage by AI AlgorithmsExercise 7-3: Balancing Autonomy and Privacy in the Age of AIExercise 7-4: Safeguarding Privacy and Ethical Frontiers
8. Legal and Regulatory Compliance for AI Systems
Legal and Regulatory LandscapeCompliance with AI Legal and Regulatory Data Protection LawsIntellectual Property Issues in Conversational AIUnraveling Liability and Accountability in the Age of AIEthical Development and Deployment of AI Systems: Strategies for Effective Governance and Risk ManagementInternational Collaboration and Standards in AIFuture Trends and Outlook in AI ComplianceUnleashing the Quantum Storm: Fictional Story on AI Cybersecurity, Quantum Computing, and Novel Cyberattacks in Oxford, 2050SummaryTest Your SkillsExercise 8-1: Compliance with Legal and Regulatory Data Protection LawsExercise 8-2: Understanding Liability and Accountability in AI SystemsExercise 8-3: International Collaboration and Standards in AI
Appendix A. Test Your Skills Answers and Solutions
Index
Code Snippets

Content preview from Beyond the Algorithm: AI, Security, Privacy, and Ethics

Index

A

accelerators, AI, 50
access
- access control vulnerabilities, 169, 179
- initial, 150–152
- model, 152–153
account hijacking, 181
accountability, 19, 203, 212, 218, 249–252
accuracy, 246
Actor-Critic models, 42, 43
ADALINE, 4
adaptive defense mechanisms, 22
add_laplace_noise function, 189
adversarial attacks
- examples of, 108–109, 130
- implications of, 109
- security risks of, 106–107
- types of, 107–108
adversarial data, crafting, 150–152, 156
Adversarial Threat Landscape for Artificial-Intelligence Systems. See ATLAS
adversarial training, 183
agency, 119, 212, 215–218
agents, virtual, 44–45
aggregation, 185, 223
AGI (artificial general intelligence), 3
AI (artificial intelligence) attacks. See attacks
AI (artificial intelligence) technologies ...

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ISBN: 9780138268442

Cloud Computing

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Soft Skills

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

by Omar Santos, Petar Radanliev

Index

A

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