Submission Deadline: 31 December 2024 View: 481 Submit to Special Issue
Artificial Intelligence (AI) is once again dominating conversations at the moment. Latest advances of AI have made again it to be at the top of research topics as it was when Deep Blue won against Garry Kasparov in 1997, or when IBM Watson won Jeopardy in 2011. Artificial intelligence’s latest advances are now at the hands of every person with access to internet, democratizing its exploration and experimentation. Everyone can “play” with it.
Responding to the challenges and uncertainties AI presents, government, industry, and researchers have to offer alternatives to develop forward-smart technologies that control unintended consequences, improve human life tyle, and decrease human inequalities, i.e., an AI that is human-centred, ethical, and aiming at society improvements. This poses a plea for actions to investigate and develop AI under conditions of controlled environments that provide responsible, identifiable, and transparent AI technologies, supported by governmental and industrial regulations and policies.
Human Centred Artificial Intelligence (HCAI), Explainable AI (XAI), Generative AI (GenAI), Augmented Intelligence (AugI), and Data Visualization appear to be pivotal in the evolution of AI. Advancements in these domains are driving the development of increasingly sophisticated methods to augment human intelligence and refine decision-making models. Consequently, there is a growing demand for advanced tools and techniques to represent, manage, and discover knowledge effectively.
This special issue is dedicated to exploring the latest innovations in AI methodologies and algorithms, particularly focusing on integrating of HCAI, XAI, GenAI, AugI and data visualization technologies as they pertain to real-world problems. Submissions are invited from all corners of the AI and smart information systems domain, provided they have a significant component related to the aforementioned fields. The primary goal of this issue is to assemble a diverse community of researchers, scientists, engineers, professionals, and academics from various disciplines to exchange and refine existing practices while pioneering new techniques. Original contributions on algorithms, tool design, implementation, and real-world applications, especially those leveraging HCAI, XAI, GenAI, AugI, and data visualization technologies, are highly encouraged to address contemporary challenges effectively.