Showing results for "john carbone"
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2026
EN
The book presents the proceedings of the 26th Society for Design and Process Science Conference (SDPS 2025), which took place in St. Julian, Malta, December 7-10, 2025. The 2025 conference centers on generative artificial intelligence (GenAI) and its impact on medicine, academia, and industry. The papers focus on the generational challenges that GenAI presents, which industry leaders agree constitutes a sea change in technology not seen since the Industrial Revolution. The conference empha...
Available Nov 1, 2026
Advances and Challenges of Applying AI/GenAI in Design and Process Science
The 2024 International Conference of the Society for Design and Process Science (SDPS)
2025
EN
Accessible
This book presents the proceedings of the 25th Society for Design and Process Science Conference (SDPS 2024), which took place in Bologna, Italy on October 6-9, 2024. The 2024 conference centers on generative artificial intelligence (GenAI) and its impact on academia and industry. The papers focus on the generational challenges that GenAI presents, which industry leaders agree constitutes a sea change in technology not seen since the Industrial Revolution. The conference emphases that, as ...
AI Chatbots
The Good, The Bad, and The Ugly
2023
EN
This book explores the subject of artificial psychology from the standpoint of how online Chatbots have infiltrated and affected societies and the world in general. The book explores the psychological effects of depending on an online entity for our needs – even if it’s a reminder of scheduled events. The author provides insight into the notion of human-Chatbot exchanges, understanding, and false emotions both from the Chatbot and from the human. He goes on to investigate and discuss the d...
Artificial Psychology
Psychological Modeling and Testing of AI Systems
2019
EN
This book explores the subject of artificial psychology and how the field must adapt human neuro-psychological testing techniques to provide adequate cognitive testing of advanced artificial intelligence systems. It shows how classical testing methods will reveal nothing about the cognitive nature of the systems and whether they are learning, reasoning, and evolving correctly; for these systems, the authors outline how testing techniques similar to/adapted from human psychological testing ...



