The early 2020s have been marked by a surge of interest in artificial intelligence (AI), and it has grown to be one of the hottest topics in computer science, business technology research, and educational technologies. Despite AI winters in the 1970s and 1990s, where interest and subsequently adequate funding for AI research ceased, and as the technology and its usefulness become more perceptible, often with brilliant results, society is once again ready to investigate this powerful technology and its potential. However, a challenge arises when AI is called into question in an ethical context. It is important that we explore how it can contribute to the resolution of ethical, social, and environmental issues and also to address growing concerns around AI developing emergent bias as well as the human application of AI for malicious purposes. With recent AI-based writing technologies, concerns around academic integrity abound and challenge our perceptions of authenticity in writing. A careful assessment of these technologies, their usefulness and potential harm, and strategic solutions to maintaining ethical standards and regulation of the technology is a necessity for the maintenance of civilized life amidst these tools.

Philosophy of Artificial Intelligence and Its Place in Society evaluates various aspects of artificial intelligence including the range of technologies, their advantages and disadvantages, and how AI systems operate. Spanning from machine learning to deep learning, philosophical insights, societal concerns, and the newest approaches to AI, it helps to develop an appreciation for and breadth of knowledge across the full range of AI sub-disciplines including neural networks, evolutionary computation, computer vision, robotics, expert systems, speech processing, and natural language processing.

Led Dr. Luiz Moutinho of the University of Suffolk in the United Kingdom, who has won several awards for his academic literature, this book provides academic market-scholars; researchers and students of philosophy, sociology, economics, and education; as well as corporate scientists with a comprehensive collection of core research elements, concepts, advances, applications, evidence, and outcomes related to artificial intelligence.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Artificial Intelligence
Artificial Intelligence Codes of Ethics
Big Data
Computational Intelligence
Cross-Industry Artificial Intelligence Applications
Deep Learning
Evolutionary Computation
Fairness and Causality
Machine Learning
Neural Networks
Pattern Recognition
Societal and Philosophical Implications

Reviews & Statements

Our chapter applies a much-needed philosophical lens to the concept of personalization by clarifying how new forms of AI-based personalization raise political questions of power and control, as well as questions about the ethical legitimacy of optimization goals pursued by digital platforms and potentially entire societies.

– Travis Greene, PhD, Assistant Professor, Copenhagen Business School, Denmark

AI has the potential to bring about numerous positive changes in society, including enhanced productivity, improved healthcare, and increased access to education. AI-powered technologies can also help solve complex problems and make our daily lives easier and more convenient. This book is designed to reflect on the impact and the exponential important of AI in society as a major contributor to the well-being of humanity.

– Luiz Moutinho, Fellow and Visiting Professor of Marketing, University of Suffolk, England, UK; Adjunct Professor of Marketing, University of the South Pacific, Fiji

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Editor/Author Biographies

Luiz Moutinho (BA, MA, PhD, MAE, FCIM) is a Visiting Prof. of Marketing at Suffolk BS, Univ. of Suffolk, UK, and at Marketing School, Portugal, and Adjunct Prof. at USP, Fiji. Until 2017 he was prof. of BioMarketing and Futures Research at the DCU BS, Ireland, and prior to that for 20 years the Foundation Chair of Marketing at the Adam Smith BS, Univ. of Glasgow, Scotland. In 2017 he received a degree of Prof. Honoris Causa from the Univ. of Tourism and Management Skopje, North Macedonia; in 2020 he was elected as the member of The Academia Europaea. He completed his PhD at the Univ. of Sheffield in 1982. He has been a Full Professor for 31 years, and Visiting Professor worldwide. He is the Founding Editor-in-Chief of the Journal of Modelling in Management (JM2) and Co-editor-in-Chief of the Innovative Marketing Journal. Main areas of research interest: marketing, management and tourism futurecast, AI, biometrics and neuroscience and the use of ANN in marketing, evolutionary algorithms, HCI, futures research. Google Scholar, Sept. 2020: 155 articles published in refereed academic journals, 34 books and 15,579 academic citations, the h-index of 57 and the i10-index of 212.

Professor Luís Cavique (BS, MS, PhD) has been a tenured Assistant Professor in the Computer Science Section in the Department of Sciences and Technology at Portuguese Open University, Universidade Aberta (UAb), Portugal, since 2008. He was head of his section and coordinator of several bachelor's and master's courses in UAb. He graduated Computer Science Engineering from the New University of Lisbon in 1988. He received the MSc degree in Operational Research and Systems Engineering from Technical Lisbon University in 1994 and the PhD degree in Systems Engineering from Technical Lisbon University in 2002. He has professional experience in companies; he worked as a system engineer in commercial banking computer systems from 1988 to 1991. He worked in the Polytechnic Education System from 1991 to 2008 as Adjunct Professor at the Setubal and the Lisbon Polytechnic Institute. His research areas are in the intersection of Computer Science and Systems Engineering, particularly in Data Science and Artificial Intelligence. He is the author of some Computer Science papers in Q1 and Q2 journals and has written over 200 scientific works for peer-reviewed journals and conferences. His scientific articles have been published in the Journal of Operational Research Society, Journal of Retailing and Consumer Services, Social Network Analysis and Mining, Expert Systems, Data in Brief, and Computers in Industry. Regularly, he participates in program committees of international conferences in the area of Machine Learning. He regularly attends the WorldCIST, IDEAL and SOCO conferences and the EPIA-KDBI (Knowledge Discovery and Business Intelligence in the EPIA Conference on Artificial Intelligence) as co-organizer. He is a member of LASIGE at Lisbon University and collaborates with Distance Education and E-learning Laboratory, LE@D in UAb. He has participated in some research projects and supervised some MS and PhD thesis. In the field of knowledge dissemination, he is the editor of the Computer Science Journal (RCC) in UAb.

Enrique Bigné is Professor of Marketing at the University of Valencia since 2001. He previously occupied the same position at the University Jaume I (1996-2001). He received his Ph.D. in Economics and Business Administration, his Bachelor degree in Business Administration, and a Degree in Law, and post graduate diplomas in Market Research and in Operations Research. His research interests include advertising, e-WOM, tourism, and neuromarketing. His work has been published in European Journal of Marketing, Psychology & Marketing, Journal of Current Issues and Research in Advertising, International Journal of Advertising, Annals of Tourism Research, Tourism Management, Journal of Business Ethics, and Journal of Services Marketing, among others. Visiting Scholar at the University of Maryland and Berkeley. Editor of European Journal of Management & Business Economics; Revista de Análisis Turistico. Associated Editor of Journal of Global Marketing, Journal of Modelling in Management, and Pasos. Member of the Editorial Board in several journals. He has served as a Head of the Department, Dean of the School of Economics and Vice-chancellor for International Relationships and Communications of the University of Valencia Academic director of the International MBA and Master in Marketing y Comunicacion.

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