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

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

By Omar Santos, Petar Radanliev
Published Jan 30, 2024 by Addison-Wesley Professional.

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Description

Sample Content

Updates

Copyright 2024
Edition: 1st

eBook (Watermarked)
ISBN-10: 0-13-826834-7
ISBN-13: 978-0-13-826834-3

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.

Preface.. . . . . . . . . . . . . . . . . xvii

1 Historical Overview of Artificial Intelligence (AI) and Machine Learning (ML).. . . . . . . . . . . . 1

The Story of Eva. . . . . . . . . . . . . 2

The Origins.. . . . . . . . . . . . . . 3

Advancements of Artificial Intelligence.. . . . . . . . . 5

Understanding AI and ML. . . . . . . . . . . 8

Concluding the Story of Eva.. . . . . . . . . . . 25

Summary. . . . . . . . . . . . . . 26

Test Your Skills. . . . . . . . . . . . . 27

Exercise 1-1: Exploring the Historical Development and Ethical Concerns of AI.. . . . . . . . . . . . 29

Exercise 1-2: Understanding AI and ML. . . . . . . . . 29

Exercise 1-3: Comparison of ML Algorithms.. . . . . . . . 30

Exercise 1-4: Assessing Applications of ML Algorithms. . . . . . 31

2 Fundamentals of AI and ML Technologies and Implementations.. . 33

What Are the Leading AI and ML Technologies and Algorithms?. . . . 34

ChatGPT and the Leading AI and ML Technologies: Exploring

Capabilities and Applications.. . . . . . . . . . 43

Understanding the Two Categories of AI: Capability-Based Types and Functionality-Based Types. . . . . . . . 52

Leveraging AI and ML to Tackle Real-World Challenges: A Case Study. . . 53

Reflecting on the Societal and Ethical Implications of AI Technologies.. . 54

Assessing Future Trends and Emerging Developments in AI and ML Technologies.. . . . . . . . . . . . . 56

Summary. . . . . . . . . . . . . . 57

Test Your Skills. . . . . . . . . . . . . 59

Exercise 2-1: Algorithm Selection Exercise: Matching Scenarios with Appropriate Machine Learning Techniques.. . . . . . . . 61

Exercise 2-2: Exploring AI and ML Technologies.. . . . . . . 63

Exercise 2-3: Capabilities and Benefits of AI-Optimized Hardware.. . . 63

Exercise 2-4: Understanding the Two Categories of AI.. . . . . . 64

Exercise 2-5: Future Trends and Emerging Developments in AI and ML Technologies. . . . . . . . . . . . . . 64

3 Generative AI and Large Language Models.. . . . . . . 65

Introduction to Generative AI and LLMs. . . . . . . . 66

Large Language Models (LLMs): Revolutionizing Natural Language Processing (NLP). . . . . . . . . . . 88

Hugging Face.. . . . . . . . . . . . . 95

Auto-GPT: A Revolutionary Step in Autonomous AI Applications. . . . 97

Summary. . . . . . . . . . . . . . 98

Test Your Skills. . . . . . . . . . . . . 99

Exercise 3-1: Hugging Face.. . . . . . . . . . . 102

Exercise 3-2: Transformers in AI. . . . . . . . . . 102

Additional Resources. . . . . . . . . . . . 104

4 The Cornerstones of AI and ML Security.. . . . . . . . 105

Recognizing the Need for AI Security.. . . . . . . . . 105

Adversarial Attacks.. . . . . . . . . . . . 107

Data Poisoning Attacks. . . . . . . . . . . 109

OWASP Top Ten for LLMs. . . . . . . . . . . 112

Countermeasures Against Model Stealing Attacks. . . . . . 124

Membership Inference Attacks.. . . . . . . . . . 124

Evasion Attacks.. . . . . . . . . . . . . 130

Model Inversion Attacks.. . . . . . . . . . . 135

Backdoor Attacks. . . . . . . . . . . . . 137

Exploring Defensive Measures.. . . . . . . . . . 137

Summary. . . . . . . . . . . . . . 138

Test Your Skills. . . . . . . . . . . . . 140

Additional Resources. . . . . . . . . . . . 142

5 Hacking AI Systems.. . . . . . . . . . . . 143

Hacking FakeMedAI. . . . . . . . . . . . 143

MITRE ATLAS.. . . . . . . . . . . . . 146

A Deep Dive into the AI and ML Attack Tactics and Techniques.. . . . 147

Exploiting Prompt Injection.. . . . . . . . . . 161

Red-Teaming AI Models. . . . . . . . . . . 162

Summary. . . . . . . . . . . . . . 162

Test Your Skills. . . . . . . . . . . . . 163

Exercise 5-1: Understanding the MITRE ATT&CK Framework.. . . . 166

Exercise 5-2: Exploring the MITRE ATLAS Framework.. . . . . . 166

6 System and Infrastructure Security. . . . . . . . . 167

The Vulnerabilities and Risks Associated with AI Systems and Their Potential Impact. . . . . . . . . . . . 167

AI BOMs. . . . . . . . . . . . . . 176

Data Security Vulnerabilities.. . . . . . . . . . 177

Cloud Security Vulnerabilities.. . . . . . . . . . 179

Secure Design Principles for AI Systems.. . . . . . . . 182

AI Model Security.. . . . . . . . . . . . 183

Infrastructure Security for AI Systems. . . . . . . . . 184

Threat Detection and Incident Response for AI Systems.. . . . . 190

Additional Security Technologies and Considerations for AI Systems. . . 193

Summary. . . . . . . . . . . . . . 195

Test Your Skills. . . . . . . . . . . . . 196

Additional Resources. . . . . . . . . . . . 197

7 Privacy and Ethics: Navigating Privacy and Ethics in an AI-Infused World.. . . . . . . . . . . . . 199

Why Do We Need to Balance the Benefits of AI with the Ethical Risks and Privacy Concerns?.. . . . . . . . . . 200

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?. . . . . . . . . 201

The Dark Side of AI and ChatGPT: Privacy Concerns and Ethical Implications. . . . . . . . . . . . 203

Data Collection and Data Storage in AI Algorithms: Potential Risks and Ethical Privacy Concerns. . . . . . . . 206

The Moral Tapestry of AI and ChatGPT.. . . . . . . . 212

Preserving Privacy, Unleashing Knowledge: Differential Privacy and Federated Learning in the Age of Data Security.. . . . . . 223

Harmony in the Machine: Nurturing Fairness, Diversity, and Human Control in AI Systems.. . . . . . . . . . 224

Real-World Case Study Examples and Fictional Stories of Privacy Breaches in AI and ChatGPT.. . . . . . . . . 226

Summary. . . . . . . . . . . . . . 232

Test Your Skills. . . . . . . . . . . . . 234

Exercise 7-1: Privacy Concerns and Ethical Implications of AI. . . . 237

Exercise 7-2: Ethical Privacy Concerns in Data Collection and Storage by AI Algorithms.. . . . . . . . . . . . . 238

Exercise 7-3: Balancing Autonomy and Privacy in the Age of AI. . . . 238

Exercise 7-4: Safeguarding Privacy and Ethical Frontiers.. . . . . 239

8 Legal and Regulatory Compliance for AI Systems.. . . . . 241

Legal and Regulatory Landscape.. . . . . . . . . 242

Compliance with AI Legal and Regulatory Data Protection Laws. . . 245

Intellectual Property Issues in Conversational AI.. . . . . . 247

Unraveling Liability and Accountability in the Age of AI. . . . . 249

Ethical Development and Deployment of AI Systems: Strategies for Effective Governance and Risk Management.. . . . . . 252

International Collaboration and Standards in AI. . . . . . . 255

Future Trends and Outlook in AI Compliance.. . . . . . . 257

Unleashing the Quantum Storm: Fictional Story on AI Cybersecurity, Quantum Computing, and Novel Cyberattacks in Oxford, 2050. . . . 260

Summary. . . . . . . . . . . . . . 261

Test Your Skills. . . . . . . . . . . . . 263

Exercise 8-1: Compliance with Legal and Regulatory Data Protection Laws.. . . . . . . . . . . . 266

Exercise 8-2: Understanding Liability and Accountability in AI Systems. . . . . . . . . . . . . . 266

Exercise 8-3: International Collaboration and Standards in AI.. . . . 267

Test Your Skills Answers and Solutions. . . . . . . . . 269

9780138268459, TOC, 1/4/2024

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