Dissertation/Thesis

Human and Artificial Intelligence: Building Bridges for a Sustainable Future

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Human and Artificial Intelligence: Building Bridges for a Sustainable Future
Συγγραφείς: Dzikowski, Ryszard
Συνεισφορές: Dzikowski, Ryszard
Στοιχεία εκδότη: Zenodo
Έτος έκδοσης: 2025
Συλλογή: Zenodo
Θεματικοί όροι: Artificial intelligence, Artificial Intelligence/trends, Environmental sustainability, Sustainability, Human-Computer Interaction, Hybrid Intelligence, Energy efficiency, Relative Energy Deficiency in Sport, Neural Networks, Non-Invasive Interfaces, HAI, IntraCavi
Περιγραφή: This article explores the urgent need for a sustainable approach to artificial intelligence (AI) development. As AI systems demand increasing energy resources for training and operation, the environmental impact becomes a critical concern. The paper proposes a hybrid model of Human-Artificial Intelligence (HAI), which leverages the strengths of human cognition—efficiency, creativity, and contextual understanding—alongside AI's computational precision. Non-invasive interfaces, such as IntraCavi, facilitate a symbiotic relationship through bidirectional communication with the brain's neural networks, enabling energy-efficient collaboration. This paper argues for a paradigm shift from isolated AI development to an integrated, symbiotic approach that mitigates environmental impact while enhancing capabilities.
Τύπος εγγράφου: Thesis
Γλώσσα: English
Relation: https://www.researchgate.net/publication/387699908_Human_and_Artificial_Intelligence_Building_Bridges_for_a_Sustainable_Future; https://zenodo.org/records/14595304; oai:zenodo.org:14595304; https://doi.org/10.5281/zenodo.14595304
DOI: 10.5281/zenodo.14595304
Διαθεσιμότητα: https://doi.org/10.5281/zenodo.14595304
https://zenodo.org/records/14595304
https://www.researchgate.net/publication/387699908_Human_and_Artificial_Intelligence_Building_Bridges_for_a_Sustainable_Future
Rights: © 2025 Ryszard Dzikowski, licensed under CC BY-SA 4.0
Αριθμός Καταχώρησης: edsbas.CEBBD2F7
Βάση Δεδομένων: BASE