Exposition

Human-AI Design Version 0.9.2, 2024-09-24 (2024)

Udo Maria Fon

About this exposition

This paper introduces the Human-AI Design approach, a novel framework for addressing complex sustainability challenges through the integration of human expertise and artificial intelligence. The approach leverages social and global entropy concepts to quantify and visualize resource distribution and irreversible processes within social and ecological systems. By combining entropy modeling, participatory processes, and advanced AI techniques, Human-AI Design offers a comprehensive methodology for tackling multifaceted global issues. The paper presents a theoretical framework, outlines the methodology, and demonstrates its application through a case study on global water resource management. The approach's potential is further explored in extended applications across various domains, including education, urban planning, biodiversity conservation, and climate change mitigation. Future scenarios of human-AI coevolution are discussed, highlighting both the immense potential and significant challenges ahead. The Human-AI Design approach represents a promising step towards more effective and integrated solutions to global sustainability challenges, offering new possibilities for understanding and managing complex systems while emphasizing the importance of ethical considerations and adaptive implementation.
typeresearch exposition
keywordsHuman-AI Design, Sustainability, Entropy Modeling, Artificial Intelligence, Participatory Processes, Water Resource Management, Coevolution, Complex Systems, Decision Support, Environmental Conservation, Human-AI Design, Sustainability, Entropy Modeling, Artificial Intelligence, Participatory Processes, Water Resource Management, Coevolution, Complex Systems, Decision Support, Environmental Conservation
date24/09/2024
published24/09/2024
last modified24/09/2024
statuspublished
share statusprivate
affiliationIndependent Researcher
copyrightUdo Fon
licenseCC BY-NC-ND
urlhttps://www.researchcatalogue.net/view/3024881/3024882
doihttps://doi.org/10.22501/rc.3024881
published inResearch Catalogue
external linkhttps://fon.space


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