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    1. Data och IT
    2. Nätverk och kommunikation

    Beyond the Algorithm

    AI, Security, Privacy, and Ethics

    AvOmar Santos,Petar Radanliev

    Häftad, Engelska, 2024

    373 kr

    Beställningsvara. Skickas inom 7-10 vardagar. Fri frakt över 249 kr.

    Beskrivning

    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.

    Produktinformation

    • Utgivningsdatum:2024-03-07
    • Mått:189 x 232 x 17 mm
    • Vikt:590 g
    • Format:Häftad
    • Språk:Engelska
    • Antal sidor:336
    • Upplaga:1
    • Förlag:Pearson Education
    • ISBN:9780138268459

    Utforska kategorier

    • Nätverk och kommunikation inom Data och IT
    • Artificiell intelligens inom Data och IT

    Mer om författaren

    Omar Santos is a cybersecurity thought leader with a passion for driving industry-wide initiatives to enhance the security of critical infrastructures. Omar is the lead of the DEF CON Red Team Village, the chair of the Common Security Advisory Framework (CSAF) technical committee, the founder of OpenEoX, and board member of the OASIS Open standards organization. Omar’s collaborative efforts extend to numerous organizations, including the Forum of Incident Response and Security Teams (FIRST) and the Industry Consortium for Advancement of Security on the Internet (ICASI).  Omar is a renowned expert in ethical hacking, vulnerability research, incident response, and AI security. He employs his deep understanding of these disciplines to help organizations stay ahead of emerging threats. His dedication to cybersecurity has made a significant impact on businesses, academic institutions, law enforcement agencies, and other entities striving to bolster their security measures.  With more than 20 books, video courses, white papers, and technical articles under his belt, Omar’s expertise is widely recognized and respected. Omar is a Distinguished Engineer at Cisco focusing on AI security, research, incident response, and vulnerability disclosure. You can follow Omar on Twitter @santosomar.  Petar Radanliev is a Postdoctoral Research Associate at the Department of Computer Science at the University of Oxford. He obtained his PhD at the University of Wales in 2014. He continued with postdoctoral research at Imperial College London, the University of Cambridge, Massachusetts Institute of Technology, and the Department of Engineering Science at the University of Oxford before moving to the Department of Computer Science. His current research focuses on artificial intelligence, cybersecurity, quantum computing, and blockchain technology. Before joining academia, Dr. Petar Radanliev spent ten years as a Cybersecurity Manager for RBS, the largest bank in the world at the time, and five years as a Lead Penetration Tester for the Ministry for Defence.

    Innehållsförteckning

    • Preface.. . . . . . . . . . . . . . . . . xvii1 Historical Overview of Artificial Intelligence (AI) and Machine Learning (ML).. . . . . . . . . . . . 1The Story of Eva. . . . . . . . . . . . . 2The Origins.. . . . . . . . . . . . . . 3Advancements of Artificial Intelligence.. . . . . . . . . 5Understanding AI and ML. . . . . . . . . . . 8Concluding the Story of Eva.. . . . . . . . . . . 25Summary. . . . . . . . . . . . . . 26Test Your Skills. . . . . . . . . . . . . 27Exercise 1-1: Exploring the Historical Development and Ethical Concerns of AI.. . . . . . . . . . . . 29Exercise 1-2: Understanding AI and ML. . . . . . . . . 29Exercise 1-3: Comparison of ML Algorithms.. . . . . . . . 30Exercise 1-4: Assessing Applications of ML Algorithms. . . . . . 312 Fundamentals of AI and ML Technologies and Implementations.. . 33What Are the Leading AI and ML Technologies and Algorithms?. . . . 34ChatGPT and the Leading AI and ML Technologies: ExploringCapabilities and Applications.. . . . . . . . . . 43Understanding the Two Categories of AI: Capability-Based Types and Functionality-Based Types. . . . . . . . 52Leveraging AI and ML to Tackle Real-World Challenges: A Case Study. . . 53Reflecting on the Societal and Ethical Implications of AI Technologies.. . 54Assessing Future Trends and Emerging Developments in AI and ML Technologies.. . . . . . . . . . . . . 56Summary. . . . . . . . . . . . . . 57Test Your Skills. . . . . . . . . . . . . 59Exercise 2-1: Algorithm Selection Exercise: Matching Scenarios with Appropriate Machine Learning Techniques.. . . . . . . . 61Exercise 2-2: Exploring AI and ML Technologies.. . . . . . . 63Exercise 2-3: Capabilities and Benefits of AI-Optimized Hardware.. . . 63Exercise 2-4: Understanding the Two Categories of AI.. . . . . . 64Exercise 2-5: Future Trends and Emerging Developments in AI and ML Technologies. . . . . . . . . . . . . . 643 Generative AI and Large Language Models.. . . . . . . 65Introduction to Generative AI and LLMs. . . . . . . . 66Large Language Models (LLMs): Revolutionizing Natural Language Processing (NLP). . . . . . . . . . . 88Hugging Face.. . . . . . . . . . . . . 95Auto-GPT: A Revolutionary Step in Autonomous AI Applications. . . . 97Summary. . . . . . . . . . . . . . 98Test Your Skills. . . . . . . . . . . . . 99Exercise 3-1: Hugging Face.. . . . . . . . . . . 102Exercise 3-2: Transformers in AI. . . . . . . . . . 102Additional Resources. . . . . . . . . . . . 1044 The Cornerstones of AI and ML Security.. . . . . . . . 105Recognizing the Need for AI Security.. . . . . . . . . 105Adversarial Attacks.. . . . . . . . . . . . 107Data Poisoning Attacks. . . . . . . . . . . 109OWASP Top Ten for LLMs. . . . . . . . . . . 112Countermeasures Against Model Stealing Attacks. . . . . . 124Membership Inference Attacks.. . . . . . . . . . 124Evasion Attacks.. . . . . . . . . . . . . 130Model Inversion Attacks.. . . . . . . . . . . 135Backdoor Attacks. . . . . . . . . . . . . 137Exploring Defensive Measures.. . . . . . . . . . 137Summary. . . . . . . . . . . . . . 138Test Your Skills. . . . . . . . . . . . . 140Additional Resources. . . . . . . . . . . . 1425 Hacking AI Systems.. . . . . . . . . . . . 143Hacking FakeMedAI. . . . . . . . . . . . 143MITRE ATLAS.. . . . . . . . . . . . . 146A Deep Dive into the AI and ML Attack Tactics and Techniques.. . . . 147Exploiting Prompt Injection.. . . . . . . . . . 161Red-Teaming AI Models. . . . . . . . . . . 162Summary. . . . . . . . . . . . . . 162Test Your Skills. . . . . . . . . . . . . 163Exercise 5-1: Understanding the MITRE ATT&CK Framework.. . . . 166Exercise 5-2: Exploring the MITRE ATLAS Framework.. . . . . . 1666 System and Infrastructure Security. . . . . . . . . 167The Vulnerabilities and Risks Associated with AI Systems and Their Potential Impact. . . . . . . . . . . . 167AI BOMs. . . . . . . . . . . . . . 176Data Security Vulnerabilities.. . . . . . . . . . 177Cloud Security Vulnerabilities.. . . . . . . . . . 179Secure Design Principles for AI Systems.. . . . . . . . 182AI Model Security.. . . . . . . . . . . . 183Infrastructure Security for AI Systems. . . . . . . . . 184Threat Detection and Incident Response for AI Systems.. . . . . 190Additional Security Technologies and Considerations for AI Systems. . . 193Summary. . . . . . . . . . . . . . 195Test Your Skills. . . . . . . . . . . . . 196Additional Resources. . . . . . . . . . . . 1977 Privacy and Ethics: Navigating Privacy and Ethics in an AI-Infused World.. . . . . . . . . . . . . 199Why Do We Need to Balance the Benefits of AI with the Ethical Risks and Privacy Concerns?.. . . . . . . . . . 200What 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?. . . . . . . . . 201The Dark Side of AI and ChatGPT: Privacy Concerns and Ethical Implications. . . . . . . . . . . . 203Data Collection and Data Storage in AI Algorithms: Potential Risks and Ethical Privacy Concerns. . . . . . . . 206The Moral Tapestry of AI and ChatGPT.. . . . . . . . 212Preserving Privacy, Unleashing Knowledge: Differential Privacy and Federated Learning in the Age of Data Security.. . . . . . 223Harmony in the Machine: Nurturing Fairness, Diversity, and Human Control in AI Systems.. . . . . . . . . . 224Real-World Case Study Examples and Fictional Stories of Privacy Breaches in AI and ChatGPT.. . . . . . . . . 226Summary. . . . . . . . . . . . . . 232Test Your Skills. . . . . . . . . . . . . 234Exercise 7-1: Privacy Concerns and Ethical Implications of AI. . . . 237Exercise 7-2: Ethical Privacy Concerns in Data Collection and Storage by AI Algorithms.. . . . . . . . . . . . . 238Exercise 7-3: Balancing Autonomy and Privacy in the Age of AI. . . . 238Exercise 7-4: Safeguarding Privacy and Ethical Frontiers.. . . . . 2398 Legal and Regulatory Compliance for AI Systems.. . . . . 241Legal and Regulatory Landscape.. . . . . . . . . 242Compliance with AI Legal and Regulatory Data Protection Laws. . . 245Intellectual Property Issues in Conversational AI.. . . . . . 247Unraveling Liability and Accountability in the Age of AI. . . . . 249Ethical Development and Deployment of AI Systems: Strategies for Effective Governance and Risk Management.. . . . . . 252International Collaboration and Standards in AI. . . . . . . 255Future Trends and Outlook in AI Compliance.. . . . . . . 257Unleashing the Quantum Storm: Fictional Story on AI Cybersecurity, Quantum Computing, and Novel Cyberattacks in Oxford, 2050. . . . 260Summary. . . . . . . . . . . . . . 261Test Your Skills. . . . . . . . . . . . . 263Exercise 8-1: Compliance with Legal and Regulatory Data Protection Laws.. . . . . . . . . . . . 266Exercise 8-2: Understanding Liability and Accountability in AI Systems. . . . . . . . . . . . . . 266Exercise 8-3: International Collaboration and Standards in AI.. . . . 267Test Your Skills Answers and Solutions. . . . . . . . . 269  9780138268459, TOC, 1/4/2024