Dissertation/Thesis
Προβολή σε EDS

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
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  – Url: https://doi.org/10.5281/zenodo.14595304#
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  Data: Human and Artificial Intelligence: Building Bridges for a Sustainable Future
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  Data: 2025
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  Data: <searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%2Ftrends%22">Artificial Intelligence/trends</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+sustainability%22">Environmental sustainability</searchLink><br /><searchLink fieldCode="DE" term="%22Sustainability%22">Sustainability</searchLink><br /><searchLink fieldCode="DE" term="%22Human-Computer+Interaction%22">Human-Computer Interaction</searchLink><br /><searchLink fieldCode="DE" term="%22Hybrid+Intelligence%22">Hybrid Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+efficiency%22">Energy efficiency</searchLink><br /><searchLink fieldCode="DE" term="%22Relative+Energy+Deficiency+in+Sport%22">Relative Energy Deficiency in Sport</searchLink><br /><searchLink fieldCode="DE" term="%22Neural+Networks%22">Neural Networks</searchLink><br /><searchLink fieldCode="DE" term="%22Non-Invasive+Interfaces%22">Non-Invasive Interfaces</searchLink><br /><searchLink fieldCode="DE" term="%22HAI%22">HAI</searchLink><br /><searchLink fieldCode="DE" term="%22IntraCavi%22">IntraCavi</searchLink>
– Name: Abstract
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  Data: 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.
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  Data: 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
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  Data: https://doi.org/10.5281/zenodo.14595304<br />https://zenodo.org/records/14595304<br />https://www.researchgate.net/publication/387699908_Human_and_Artificial_Intelligence_Building_Bridges_for_a_Sustainable_Future
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  Data: © 2025 Ryszard Dzikowski, licensed under CC BY-SA 4.0
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        Value: 10.5281/zenodo.14595304
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      – Text: English
    Subjects:
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Artificial Intelligence/trends
        Type: general
      – SubjectFull: Environmental sustainability
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      – SubjectFull: Human-Computer Interaction
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      – SubjectFull: Hybrid Intelligence
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      – SubjectFull: Energy efficiency
        Type: general
      – SubjectFull: Relative Energy Deficiency in Sport
        Type: general
      – SubjectFull: Neural Networks
        Type: general
      – SubjectFull: Non-Invasive Interfaces
        Type: general
      – SubjectFull: HAI
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      – SubjectFull: IntraCavi
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      – TitleFull: Human and Artificial Intelligence: Building Bridges for a Sustainable Future
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