Artificial intelligence (AI) has been much in the news recently, with some commentators expressing concern that AI might eventually replace humans. But many developments in AI are designed to enhance and supplement the performance of humans rather than replace them, and a novel field of study, with new approaches and solutions to the development of AI, has arisen to focus on this aspect of the technology. This book presents the proceedings of HHAI2023, the 2nd International Conference on Hybrid Human-Artificial Intelligence, held from 26-30 June 2023, in Munich, Germany. The HHAI international conference series is focused on the study of artificially intelligent systems that cooperate synergistically, proactively, responsibly and purposefully with humans, amplifying rather than replacing human intelligence, and invites contributions from various fields, including AI, human-computer interaction, the cognitive and social sciences, computer science, philosophy, among others. A total of 78 submissions were received for the main conference track, and most papers were reviewed by at least three reviewers. The overall final acceptance rate was 43%, with 14 contributions accepted as full papers, 14 as working papers, and 6 as extended abstracts. The papers presented here cover topics including interactive hybrid agents; hybrid intelligence for decision support; hybrid intelligence for health; and values such as fairness and trust in hybrid intelligence. We further accepted 17 posters and 4 demos as well as 8 students to the first HHAI doctoral consortium this year. The authors of 4 working papers and 2 doctoral consortium submissions opted for not publishing their submissions to allow a later full submission, resulting in a total of 57 papers included in this proceedings Addressing all aspects of AI systems that assist humans and emphasizing the need for adaptive, collaborative, responsible, interactive, and human-centered artificial intelligence systems which can leverage human strengths and compensate for human weaknesses while considering social, ethical, and legal considerations, the book will be of interest to all those working in the field.

Artificial intelligence, or AI, now affects the day-to-day life of almost everyone on the planet, and continues to be a perennial hot topic in the news. This book presents the proceedings of ECAI 2023, the 26th European Conference on Artificial Intelligence, and of PAIS 2023, the 12th Conference on Prestigious Applications of Intelligent Systems, held from 30 September to 4 October 2023 and on 3 October 2023 respectively in Kraków, Poland. Since 1974, ECAI has been the premier venue for presenting AI research in Europe, and this annual conference has become the place for researchers and practitioners of AI to discuss the latest trends and challenges in all subfields of AI, and to demonstrate innovative applications and uses of advanced AI technology. ECAI 2023 received 1896 submissions – a record number – of which 1691 were retained for review, ultimately resulting in an acceptance rate of 23%. The 390 papers included here, cover topics including machine learning, natural language processing, multi agent systems, and vision and knowledge representation and reasoning. PAIS 2023 received 17 submissions, of which 10 were accepted after a rigorous review process. Those 10 papers cover topics ranging from fostering better working environments, behavior modeling and citizen science to large language models and neuro-symbolic applications, and are also included here. Presenting a comprehensive overview of current research and developments in AI, the book will be of interest to all those working in the field.

Machine learning (ML) and intelligent systems are now comprehensively applied for the solving of practical problems. Emerging techniques such as big data analysis, deep neural networks, AI, and IoT have been adopted and integrated into the development and application of machine learning and intelligent systems, and their wide application in industry, medicine, engineering, education and other mainstream domains have made them a part of everyday life. This book presents the proceedings of MLIS 2023, the 5th International Conference on Machine Learning and Intelligent Systems, held as a hybrid event from 17-20 November 2023 in Macau, China. This annual conference aims to provide a platform for a knowledge exchange of the most recent scientific and technological advances in the field of ML and intelligent systems, and to strengthen links within the scientific community in related research areas. A total of 80 submissions were received for the conference, of which 20 papers were selected for presentation and publication in these proceedings following a rigorous peer-review process. Papers were assessed on originality, scientific/practical significance, compelling logical reasoning and language, and the selected papers cover a wide range of topics, and provide innovative and original ideas or results of general significance in the field of ML and intelligent systems. Providing a current overview of developments in the fields of machine learning and intelligent systems, the book will be of interest to all those working in this field.

Artificial intelligence is no longer solely the preserve of computer scientists and researchers; it is now a part of all our lives, and hardly a day goes by without discussion and debate about the implications of its many applications in the mainstream media. This book presents the proceedings of CCIA 2023, the 25th International Conference of the Catalan Association for Artificial Intelligence, held from 25 - 27 October 2023 in Barcelona, Spain. CCIA serves as an annual forum welcoming participants from around the globe. The theme of the 2023 conference was Supportive AI, the main goals of which are to strengthen collaboration between research and industry by sharing the latest advances in artificial intelligence, and opening discussion about how AI can better support the current needs of industry. A total of 54 submissions were received for the conference, of which the 26 full papers, 18 short papers and 6 abstracts included here were selected after peer review. The papers cover a wide range of topics in Artificial Intelligence, including machine learning, deep learning, social media evaluation, consensus-building, data science, recommender systems, and decision support systems, together with crucial applications of AI in fields such as health, education, disaster response, and the ethical impact of AI on society. The book also includes abstracts of the keynotes delivered by Professor Aida Kamišalić and Dr. Lluis Formiga. Providing a useful overview of some of the latest developments in artificial intelligence, the book will be of interest to all those working in the field.

Computers and automation have revolutionized the lives of most people in the last two decades, and terminology such as algorithms, big data and artificial intelligence have become part of our everyday discourse. This book presents the proceedings of CAIBDA 2023, the 3rd International Conference on Artificial Intelligence, Big Data and Algorithms, held from 16 - 18 June 2023 as a hybrid conference in Zhengzhou, China. The conference provided a platform for some 200 participants to discuss the theoretical and computational aspects of research in artificial intelligence, big data and algorithms, reviewing the present status and future perspectives of the field. A total of 362 submissions were received for the conference, of which 148 were accepted following a thorough double-blind peer review. Topics covered at the conference included artificial intelligence tools and applications; intelligent estimation and classification; representation formats for multimedia big data; high-performance computing; and mathematical and computer modeling, among others. The book provides a comprehensive overview of this fascinating field, exploring future scenarios and highlighting areas where new ideas have emerged over recent years. It will be of interest to all those whose work involves artificial intelligence, big data and algorithms.

This groundbreaking book explores the power of collaborative AI in amplifying human creativity and expertise. Written by two seasoned experts in data analytics, AI, and machine learning, the book offers a comprehensive overview of the creative process behind AI-powered content generation. It takes the reader through a unique collaborative process between human authors and various AI-based topic experts, created, prompted, and fine-tuned by the authors. This book features a comprehensive list of prompts that readers can use to create their own ChatGPT-powered topic experts. By following these expertly crafted prompts, individuals and businesses alike can harness the power of AI, tailoring it to their specific needs and fostering a fruitful collaboration between humans and machines. With real-world use cases and deep insights into the foundations of generative AI, the book showcases how humans and machines can work together to achieve better business outcomes and tackle complex challenges. Social and ethical implications of collaborative AI are covered and how it may impact the future of work and employment. Through reading the book, readers will gain a deep understanding of the latest advancements in AI and how they can shape our world. Converging Minds: The Creative Potential of Collaborative AI is essential reading for anyone interested in the transformative potential of AI-powered content generation and human-AI collaboration. It will appeal to data scientists, machine learning architects, prompt engineers, general computer scientists, and engineers in the fields of generative AI and deep learning. Chapter 1 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons [Attribution- No Derivatives (CC-BY -ND)] 4.0 license.

If only it were possible to develop automated and trainable neural systems that could justify their behavior in a way that could be interpreted by humans like a symbolic system. The field of Neurosymbolic AI aims to combine two disparate approaches to AI; symbolic reasoning and neural or connectionist approaches such as Deep Learning. The quest to unite these two types of AI has led to the development of many innovative techniques which extend the boundaries of both disciplines. This book, Compendium of Neurosymbolic Artificial Intelligence, presents 30 invited papers which explore various approaches to defining and developing a successful system to combine these two methods. Each strategy has clear advantages and disadvantages, with the aim of most being to find some useful middle ground between the rigid transparency of symbolic systems and the more flexible yet highly opaque neural applications. The papers are organized by theme, with the first four being overviews or surveys of the field. These are followed by papers covering neurosymbolic reasoning; neurosymbolic architectures; various aspects of Deep Learning; and finally two chapters on natural language processing. All papers were reviewed internally before publication. The book is intended to follow and extend the work of the previous book, Neuro-symbolic artificial intelligence: The state of the art (IOS Press; 2021) which laid out the breadth of the field at that time. Neurosymbolic AI is a young field which is still being actively defined and explored, and this book will be of interest to those working in AI research and development.

Software is an essential enabler for science and the new economy, but current software methodologies, tools, and techniques are often still not sufficiently robust or reliable for the constantly changing and evolving market, and many promising approaches have proved to be no more than case-oriented methods that are not fully automated. This book presents the proceedings of SoMeT_23, the 22nd International Conference on New Trends in Intelligent Software Methodology, Tools, and Techniques, held from 20–22 September 2023 in Naples, Italy. The conference brings together researchers and practitioners to share original research and practical development experience in software science and related new technologies, and is an opportunity for the software-science community to take stock of where they are today and consider future directions. The 25 papers included here were carefully selected from the many high-quality submissions received after a rigorous review process, with each paper typically being reviewed by 3 or 4 reviewers. Topics covered range from research practices, techniques and methodologies to the solutions required by global business. SoMeT_23 focused in particular on intelligent software, the application of artificial intelligence techniques in software development, and tackling human interaction in the development process for better high-level interface, with an emphasis on human-centric software methodologies, end-user development techniques, and emotional reasoning for an optimum performance between design tool and user. Exploring trends, theories, and challenges in the integration of software and science for tomorrow’s global information society, the book captures a new state-of-the-art in software science and its supporting technology and will be of interest to all those working in the field.