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The parallel history of the evolution of human intelligence and artificial intelligence is a fascinating journey, highlighting the distinct but interconnected paths of biological evolution and technological innovation. This history can be seen as a series of interconnected developments, each advance in human intelligence paving the way for the next leap in artificial intelligence. Human intelligence and artificial intelligence have long been intertwined, evolving in parallel trajectories throughout history. As humans have sought to understand and reproduce intelligence, AI has emerged as a field dedicated to creating systems capable of tasks that traditionally require human intellect. This book examines the evolutionary roots of intelligence, explores the emergence of artificial intelligence, examines the parallel history of human intelligence and artificial intelligence, tracing their development, interactions, and profound impact they have had on each other, and envisions future landscapes where intelligence converges human and artificial. Let's explore this history, comparing key milestones and developments in both realms.
This book presents advanced research studies on the topic of artificial intelligence as a component of social and economic relations and processes. It gathers research papers from the International Research-to-Practice Conference “The 21st Century from the Positions of Modern Science: Intellectual, Digital and Innovative Aspects” (May 23–24, 2019, Nizhny Novgorod, Russia) and the International Research-to-Practice Conference “Economics of Pleasure: a Science of Enjoying Economic Activities” (October 3–5, 2019, Prague, Czech Republic). Both conferences were organized by the Autonomous Non-Profit Organization “Institute of Scientific Communications” (Volgograd). What sets this book apart from other publications on the topic of artificial intelligence is that it approaches AI not as a technological tool, but as an economic entity. Bringing together papers by representatives of various fields of social and human knowledge, it systematically reflects on various economic, social, and legal aspects of the creation, application, and development of artificial intelligence. Given the multidisciplinary nature of its content, the book will appeal to a broad target audience, including those engaged in developing AI (scientific research institutes and universities), and Industry 4.0 enterprises interested in its implementation, as well as state regulators for the digital economy.
The investigation of computational models of argument is a rich and fascinating interdisciplinary research field with two ultimate aims: the theoretical goal of understanding argumentation as a cognitive phenomenon by modeling it in computer programs, and the practical goal of supporting the development of computer-based systems able to engage in argumentation-related activities with human users or among themselves. The biennial International Conferences on Computational Models of Argument (COMMA) provide a dedicated forum for the presentation and discussion of the latest advancements in the field, and cover both basic research and innovative applications. This book presents the proceedings of COMMA 2020. Due to the Covid-19 pandemic, COMMA 2020 was held as an online event on the originally scheduled dates of 8 -11 September 2020, organised by the University of Perugia, Italy. The book includes 28 full papers and 13 short papers selected from a total of 78 submissions, the abstracts of 3 invited talks and 13 demonstration abstracts. The interdisciplinary nature of the field is reflected, and contributions cover both theory and practice. Theoretical contributions include new formal models, the study of formal or computational properties of models, designs for implemented systems and experimental research. Practical papers include applications to medicine, law and criminal investigation, chatbots and online product reviews. The argument-mining trend from previous COMMA’s is continued, while an emerging trend this year is the use of argumentation for explainable AI. The book provided an overview of the latest work on computational models of argument, and will be of interest to all those working in the field.
In the advancing fields of artificial intelligence (AI) and data science, a pressing ethical dilemma arises. As technology continues its relentless march forward, ethical considerations within these domains become increasingly complex and critical. Bias in algorithms, lack of transparency, data privacy breaches, and the broader societal repercussions of AI applications are demanding urgent attention. This ethical quandary poses a formidable challenge for researchers, academics, and industry professionals alike, threatening the very foundation of responsible technological innovation. Navigating this ethical minefield requires a comprehensive understanding of the multifaceted issues at hand. The Ethical Frontier of AI and Data Analysis is an indispensable resource crafted to address the ethical challenges that define the future of AI and data science. Researchers and academics who find themselves at the forefront of this challenge are grappling with the evolving landscape of AI and data science ethics. Underscoring the need for this book is the current lack of clarity on ethical frameworks, bias mitigation strategies, and the broader societal implications, which hinder progress and leave a void in the discourse. As the demand for responsible AI solutions intensifies, the imperative for this reliable guide that consolidates, explores, and advances the dialogue on ethical considerations grows exponentially.
The first report in a new flagship series, WIPO Technology Trends, aims to shed light on the trends in innovation in artificial intelligence since the field first developed in the 1950s.
Based on author's thesis from the Dutch Research School for Information and Knowledge Systems.
This textbook examines the ethical, social, and policy challenges arising from our rapidly and continuously evolving computing technology—ranging from the Internet, over to the cross-platforms consisting of ubiquitous portable and wearable devices to the eagerly anticipated metaverse—and how we can responsibly access and use these spaces. The text emphasizes the need for a strong ethical framework for all applications of computer science and engineering in our professional and personal life. This comprehensive seventh edition features thoroughly revised chapters with new and updated content, hardened by the bedrock ethical and moral values. Because of the rapidly changing computing and telecommunication ecosystem, a new chapter on Ethics and Social Responsibility in the Metaverse has been added. The interface between our current universe and the evolving metaverse presents a security quagmire. The discussion throughout the book is candid and intended to ignite students' interest and participation in class discussions and beyond. Topics and features: Establishes a philosophical framework and analytical tools for discussing moral theories and problems in ethical relativism Offers pertinent discussions on privacy, surveillance, employee monitoring, biometrics, civil liberties, harassment, the digital divide, and discrimination Discusses the security and ethical quagmire in the platforms of the developing metaverse Provides exercises, objectives, and issues for discussion with every chapter Examines the ethical, cultural and economic realities of mobile telecommunications, computer social network ecosystems, and virtualization technology Reviews issues of property rights, responsibility and accountability relating to information technology and software Explores the evolution of electronic crime, network security, and computer forensics Introduces the new frontiers of ethics: virtual reality, artificial intelligence, and the Internet This extensive textbook/reference addresses the latest curricula requirements for understanding the cultural, social, legal, and ethical issues in computer science and related fields, and offers invaluable advice for industry professionals wishing to put such principles into practice.
Collective monograph
This book is a collection of academic articles selected from papers published in the Chinese journal Educational Research in 2021-2022. Educational Research was first published in 1979 and is a national, comprehensive, and theoretical journal of education research. It is sponsored by the Ministry of Education of the People's Republic of China and the China National Academy of Educational Sciences (CNAES). This book presents 20 important educational research articles and covers topics such as educational policies, education technologies, teacher education, and moral education. This book showcases a curated selection of education research outcomes in China and aids readers in developing a comprehensive understanding of China's education reform and development.