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

The book explores how AI 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 non- beneficial purposes.

– Luiz Moutinho, University of Glasgow, UK

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Editor/Author Biographies

Professor Luiz Moutinho (BA, MA, PhD, MAE, FCIM) is Visiting Professor of Marketing at Suffolk Business School, Faculty of Arts, Business and Applied Social Science, Univ. of Suffolk, Ipswich, England, UK, and at The Marketing School, Portugal, an Adjunct Professor of Marketing, GSB, FBE, University of the South Pacific, Suva, Fiji, and more recently became the Global Dean of Innovation at the Kotler Business School in the USA. In 2020 he was elected as the member of The Academia Europaea. In 2017 he received a degree of Prof. Honoris Causa from the Univ. of Tourism and Management Skopje, North Macedonia. In 2024 was rated among the 100 best scientists in Business and Management by Research.com. During 2015 - 2017 he was professor of BioMarketing and Futures Research at the DCU Business School, Dublin City University, Ireland. This was the first Chair in the world on both domains - BioMarketing and Futures Research. Previously, and for 20 years, he had been appointed as the Foundation Chair of Marketing at the Adam Smith Business School, University of Glasgow, Scotland. He completed his PhD at the University of Sheffield in 1982. He has been a Full Professor for 34 years and held posts at Cardiff Business School, University of Wales College of Cardiff, Cleveland State University, Ohio, USA, Northern Arizona University, USA and California State University, USA. He has held Visiting Professorship positions at numerous universities in China, Lithuania, Austria, New Zealand, Denmark, Slovenia, Portugal, Hungary, Taiwan, Brazil, Colombia, Fiji and Cyprus. Between 1987 and 1989 he was the director of the Doctoral Programmes at the Confederation of Scottish Business Schools and at the Cardiff Business School between 1993 and 1996. He was director of the Doctoral Programme in Management at the University of Glasgow between 1996 and 2004. Professor Moutinho is the Founding Editor-in-Chief of the Journal of Modelling in Management (JM2) and Co- editor-in-Chief of the Innovative Marketing Journal. He has another 4 associate editorships as well as being in the editorial boards of another 47 international academic journals. His areas of research interest encompass marketing and management futurecast, artificial intelligence, biometrics and neuroscience in marketing, futures research algorithmic self, EmoWear - a wearable tech device that detects human emotions, evolutionary algorithms, human-computer interaction, the use of artificial neural networks in marketing, modelling processes of consumer behaviour and tourism futurecast. He has developed a number of conceptual models over the years in areas such as tourism destination decision processes, automated banking, supermarket patronage, among other areas. The testing of these research models has been based on the application of many different statistical, computer and mathematical modelling techniques ranging from multidimensional scaling, multinomial logit generalised linear models (GLMs) and linear structural relations to neural networks, ordered probit, simulated annealing, tabu search, genetic algorithms, memetic algorithms and fuzzy logic. Prof. Moutinho has given keynote speeches, lectures, seminars, talks, etc. in 49 countries worldwide. Prof. Moutinho has 39 books published, over 161 articles published in refereed academic journals. He has 17199 academic citations, the h-index of 59 and the i10-index of 165 (Google Scholar, March 3rd, 2024).

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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