AI and algorithms

    Author: Arnoud Engelfriet
    Publication date: 2 Januari 2024
    Cost: €49,95 incl. vat

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    Contents of the book

    Written for legal professionals, compliance officers and AI product managers, this book provides the keys to understanding the evolving landscape of AI law, presenting clear, actionable insights on how to apply Europe’s legal rules and ethical guidelines in AI design, deployment, and oversight.

    Delve into detailed discussions on crucial concepts such as human agency and oversight, technical robustness and safety, privacy and data governance, and many more. Explore the essence of transparency in AI systems and their impact on societal and environmental well-being, while also gaining an understanding of accountability mechanisms.

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    After reading this book, you will be able to:

    1. Dissect the European AI Act and the Guidelines for Trustworthy AI into their component parts, understand their implications, and recognize how those parts interact and relate to one another in the context of AI innovation.
    2. Utilize these legal and ethical norms in the real-world scenarios of designing, deploying, and overseeing AI systems.
    3. Assess accountability mechanisms in AI systems, allowing you to make informed decisions for AI design and implementation processes.

    The book is key study material for our CAICO-certified course to become AI Compliance Officer.

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    Table of contents of the book:

    Chapter 1: Exploring the AI Landscape - Legislation, Ethics, and Context

    • Understanding AI History
    • The call for ethics and regulation
    • Defining AI
    • Looking ahead: the future of AI

    Chapter 2: Unraveling the European AI Act

    • Background and history of the AI Act
    • Deciphering Risk: Unacceptable, High, and Low Risk AI Systems
    • The Guidelines & ALTAI Assessment List and their role in compliance
    • A Wider Look at AI Regulation Worldwide

    Chapter 3: Reinforcing Human Agency and Oversight in AI

    • The Integral Role of Humans from Design to Execution
    • Mitigating AI’s impact on human autonomy and agency
    • Implementing Oversight Mechanisms: Compliance and Control

    Chapter 4: Technical Robustness, Safety, and AI Systems

    • The Imperative of Technical Robustness
    • Resilience to Attack and Security
    • Safeguarding AI: Fallback plans and safety
    • Ensuring Accuracy Reliability and Reproducibility

    Chapter 5: Data Governance and Privacy in AI Systems

    • Navigating Privacy and Data Protection Laws
    • Ensuring Data Quality and Integrity: Best Practices for AI
    • Automated Decision-Making and GDPR compliance

    Chapter 6: Emphasizing Transparency in AI Operation

    • Promoting Transparency: From Data and Systems to AI Business Models
    • Breaking Down AI Decisions: Ensuring Understandability for Stakeholders
    • Conformity Assessments as a Transparency Tool

    Chapter 7: Fostering Fairness, Diversity, and Non-discrimination

    • Forms of Bias and how to detect them
    • Tackling Bias: Strategies and Techniques for Fair AI
    • Elevating Inclusive AI: Accessibility and Stakeholder Engagement

    Chapter 8: Societal and Environmental Implications of AI System

    • Aligning AI Systems with Sustainable Development Goals
    • AI’s Carbon Footprint and other environmental concerns
    • Conducting Social Impact Assessments: Identifying and Mitigating Risks
    • AI’s Role in Society and Democracy

    Chapter 9: Accountability and Redress in AI Systems

    • The role of accountability
    • Implementing Accountability Mechanisms: A Key Step
    • Auditability and Redress: What Does It Mean for AI?

    Chapter 10: Bringing It All Together – Weaving the threads of AI Compliance

    • Reflection on the AI Ethics and Law landscape
    • Understanding the importance of compliance and enforcement
    • The ALTAI Assessment Checklist: Your Compass in the AI Maze
    • The Continuous Evolution of AI Ethics and Law
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