The book guides the reader through the auditing and compliance process of the newly released ISO Artificial Intelligence standard. It provides tools and best practices on how to put together an AI management system that is certifiable and sheds light on ethical and legal challenges business leaders struggle with to make their AI system comply with existing laws and regulations, and the ethical framework of the organization. The book is unique because it provides implementation guidance on the new certification and conformity assessment process required by the new ISO Standard on Artificial Intelligence (ISO 42001:2023 Artificial Intelligence Management System) published by ISO in August 2023. This is the first book that addresses this issue. As a member of the US/ISO team who participated in the drafting of this standard during the last 3 years, the author has direct knowledge and insights that are critical to the implementation of the standard. He explains the context of how to interpret ISO clauses, gives examples and guidelines, and provides best practices that help compliance managers and senior leadership understand how to put together the AI compliance system to certify their AI system. The reader will find in the book a complete guide to the certification process of AI systems and the conformity assessment required by the standard. It also provides guidance on how to read the new EU AI Act and some of the U.S. legislations, such as NYC Local Law 144, enacted in July 2023. This is the first book that helps the reader create an internal auditing program that enhances the company’s AI compliance framework. Generative AI has taken the world by storm, and currently, there is no international standard that provides guidance on how to put together a management system that helps business leaders address issues of AI governance, AI structure, AI risk, AI audit, and AI impact analysis. ISO/IEC 42001:2023 is the first international mandatory and certifiable standard that provides a comprehensive and well-integrated framework for the issue of AI governance. This book provides a step-by-step process on how to implement the standard so the AI system can pass the ISO accreditation process.

THE FIRST PRACTICAL GUIDE FOR OPERATIONALIZING RESPONSIBLE AI ̃FROM MUL TI°LEVEL GOVERNANCE MECHANISMS TO CONCRETE DESIGN PATTERNS AND SOFTWARE ENGINEERING TECHNIQUES. AI is solving real-world challenges and transforming industries. Yet, there are serious concerns about its ability to behave and make decisions in a responsible way. Operationalizing responsible AI is about providing concrete guidelines to a wide range of decisionmakers and technologists on how to govern, design, and build responsible AI systems. These include governance mechanisms at the industry, organizational, and team level; software engineering best practices; architecture styles and design patterns; system-level techniques connecting code with data and models; and trade-offs in design decisions. Responsible AI includes a set of practices that technologists (for example, technology-conversant decision-makers, software developers, and AI practitioners) can undertake to ensure the AI systems they develop or adopt are trustworthy throughout the entire lifecycle and can be trusted by those who use them. The book offers guidelines and best practices not just for the AI part of a system, but also for the much larger software infrastructure that typically wraps around the AI. First book of its kind to cover the topic of operationalizing responsible AI from the perspective of the entire software development life cycle. Concrete and actionable guidelines throughout the lifecycle of AI systems, including governance mechanisms, process best practices, design patterns, and system engineering techniques. Authors are leading experts in the areas of responsible technology, AI engineering, and software engineering. Reduce the risks of AI adoption, accelerate AI adoption in responsible ways, and translate ethical principles into products, consultancy, and policy impact to support the AI industry. Online repository of patterns, techniques, examples, and playbooks kept up-to-date by the authors. Real world case studies to demonstrate responsible AI in practice. Chart the course to responsible AI excellence, from governance to design, with actionable insights and engineering prowess found in this defi nitive guide.

In "The Technological Singularity", the vast and intricate paths that artificial intelligence (AI) is opening in our world are explored. From the creation of art and music to the personalization of content and the improvement of sports performance, AI is revolutionizing every aspect of our lives. This book not only offers a deep insight into how these emerging technologies are reshaping our societies, but it also addresses the ethical and philosophical implications of this transformation. Readers will embark on a journey through concrete examples and case studies illustrating how AI is being used to create new forms of artistic expression, enhance efficiency in content creation, and optimize sports performance through real-time data analysis. Furthermore, the impact of AI on user experience personalization is examined, showing how these technologies can predict preferences and behaviors to provide precise and relevant recommendations. However, not everything is positive. The book also delves into ethical concerns related to privacy, information manipulation, and inherent biases in AI algorithms. How can we ensure that these powerful tools are used responsibly? What role should developers and legislators play in regulating AI? "The Technological Singularity" is essential reading for anyone wanting to understand the present and future of artificial intelligence. It is a comprehensive guide that offers both an optimistic vision and a warning about the possible consequences of this unprecedented technological advance.

This book explores the ethical implications of the burgeoning adoption and deployment of Autonomous Decision Making and Algorithmic Learning Systems (ADM/ALS) on human rights and societal values as well as these systems’ potential social harms and benefits. After two millennia of recorded civilization, consideration of ethics and social values in all that we strive for is a long-overdue phenomenon. Therefore this is a journey that we’ve just embarked on thanks to the emergence of ADM/ALS and should not be treated as a destination in line with many other facets and emergent properties of products, services, and systems. This book informs policymakers and practitioners about best practices in technology ethics pertinent to many disciplines and sectors.