Omar Santos, Petar Radanliev

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

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Pearson Education; Pearson International
• 1. Auflage
• Seitenzahl: 336
• Erscheinungstermin: 30. Januar 2024
• Englisch
• Abmessung: 235mm x 195mm x 19mm
• Gewicht: 590g
• ISBN-13: 9780138268459
• ISBN-10: 0138268452
• Artikelnr.: 68748317

Autorenporträt

Omar Santos is a principal engineer in the Cisco Product Security Incident Response Team (PSIRT) within the Cisco Security Research and Operations. He mentors and leads engineers and incident managers during the investigation and resolution of security vulnerabilities in all Cisco products, including cloud services. Omar has been working with information technology and cybersecurity since the mid-1990s. Omar has designed, implemented, and supported numerous secure networks for Fortune 100 and 500 companies and the U.S. government. Prior to his current role, he was a technical leader within the World-Wide Security Practice and the Cisco Technical Assistance Center (TAC), where he taught, led, and mentored many engineers within both organizations. Omar is an active member of the security community, where he leads several industrywide initiatives and standard bodies. His active role helps businesses, academic institutions, state and local law enforcement agencies, and other participants that are dedicated to increasing the security of the critical infrastructure. Omar often delivers technical presentations at many conferences and to Cisco customers and partners. He is the author of dozens of books and video courses. You can follow Omar on any of the following: Personal website: omarsantos.io Twitter: @santosomar LinkedIn: https://www.linkedin.com/in/santosomar

Inhaltsangabe

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