The 7 Keys To Ai
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Technical and Regulatory Perspectives on Information Retrieval and Recommender Systems
This book provides an in-depth treatment of three important topical areas related to regulatory, ethical, and technical discussions in the context of information retrieval and recommender systems (IRRSs): (1) bias, fairness, and non-discrimination, (2) transparency and explainability, and (3) privacy and security. Sometimes referred to as trustworthiness dimensions, they are analyzed by taking an interdisciplinary perspective and incorporating views from computer science, social sciences, psychology, and law and by particularly considering the related technical challenges, societal impact, ethical considerations, and regulatory approaches. After an introduction, the book first provides an overview of recent initiatives and already operational policies to regulate AI technology and discusses them in the context of IRRSs, focusing on regulations in Europe, the US, and China. Subsequent chapters present categories of biases, their relation to fairness and non-discrimination and ways to discover and mitigate harmful biases; major facets of transparency, with a focus on explainability (including common strategies to achieve it), traceability, and auditability; and privacy and security including technical approaches to mitigate privacy risks such as anonymization techniques and encryption methods. Eventually, the last chapter provides an outlook on the grand challenges in IRRSs, such as dealing with discrepancies between formal attempts, human perception, and regulatory frameworks for trustworthy IRRSs; understanding the capabilities and limitations of existing solutions in terms of fairness, transparency, and privacy; and adopting a multistakeholder perspective when developing solutions for fair, transparent, and privacy-preserving IRRSs. The book targets a mostly technical readership and aims to equip it with the necessary understanding of the ethical implications of their research and development in IRRSs as well as of recent policy initiatives and regulatory approaches. While a basic knowledge of IRRSs is assumed to fully comprehend the more technical and algorithmic parts of the book, even a lay audience in terms of technical background should benefit from the book.
The AI Revolution: How Artificial Intelligence is Changing Our World
The AI Revolution: How Artificial Intelligence is Changing Our World" is a comprehensive guide to understanding the transformative power of artificial intelligence. From its fundamental concepts and historical evolution to its diverse applications in healthcare, finance, manufacturing, education, entertainment, and transportation, this book demystifies AI for a general audience. It explores key technologies in machine learning and deep learning, while addressing the ethical considerations, societal impacts, and future implications of this rapidly evolving field. Prepare for an AI-driven future by gaining insights into the skills and strategies available to navigate this revolutionary era, while critically assessing the potential and limitations of this groundbreaking technology. This book empowers readers to understand, adapt, and shape the world increasingly influenced by artificial intelligence.
AI-Powered Educational Games and Simulations
AI is revolutionizing the educational landscape by enhancing the design and delivery of games and simulations that foster deeper learning and engagement. AI educational games and simulations combine adaptive learning technologies, language processing technology, and intelligent feedback systems to create more personalized learning experiences. These tools help create more complex concepts that are more accessible and interactive for each individual learner’s needs. AI in educational games and simulations highlights the potential to transform traditional learning environments and support diverse educational goals across age groups and disciplines. AI-Powered Educational Games and Simulations explores the transformative role of AI in modern education. This book discusses how AI is reshaping e-learning and distance learning for educators and students through games and simulations. Covering topics such as education, AI, and technology, this book is an excellent resource for researchers, academicians, educators, policymakers, faculty, pre-service teachers, instructional designers, and more.