Towards symbiotic autonomous systems

Kaynak, Okyay; He, Wei; Flammini, Francesco; Liu, Zhijie

doi:10.1098/rsta.2020.0359

Cited by 4 publications

(2 citation statements)

References 15 publications

(16 reference statements)

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“…Therefore, some recent initiatives have started to explore the contact between natural and artificial artifacts and computers. A notable one is the definition and study of Symbiotic Autonomous Systems (Kaynak et al, 2021;Saracco et al, 2021;Wang et al, 2021;Raikov A. N. and Pirani, 2022). Efimov et al (2023) noted many unexplained aspects in processing human speech and thinking: AI cannot understand language in the human sort of sense.…”

Section: Xai a Reviewmentioning

confidence: 99%

Accelerating human–computer interaction through convergent conditions for LLM explanation

Raikov,

Giretti,

Pirani

et al. 2024

Front. Artif. Intell.

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The article addresses the accelerating human–machine interaction using the large language model (LLM). It goes beyond the traditional logical paradigms of explainable artificial intelligence (XAI) by considering poor-formalizable cognitive semantical interpretations of LLM. XAI is immersed in a hybrid space, where humans and machines have crucial distinctions during the digitisation of the interaction process. The author’s convergent methodology ensures the conditions for making XAI purposeful and sustainable. This methodology is based on the inverse problem-solving method, cognitive modeling, genetic algorithm, neural network, causal loop dynamics, and eigenform realization. It has been shown that decision-makers need to create unique structural conditions for information processes, using LLM to accelerate the convergence of collective problem solving. The implementations have been carried out during the collective strategic planning in situational centers. The study is helpful for the advancement of explainable LLM in many branches of economy, science and technology.

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Section: Xai a Reviewmentioning

confidence: 99%

Accelerating human–computer interaction through convergent conditions for LLM explanation

Raikov,

Giretti,

Pirani

et al. 2024

Front. Artif. Intell.

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“…Over the last years, modern ICT has been spread to critical parts of the business and personal life [94]. Nowadays, increasingly intelligent systems are embedded in everyday objects and assist humans in their tasks and decision-making processes, while there are clear visions of symbiosis with intelligent autonomous systems in the future [95]. Because technology is no longer a mere tool but is capable of autonomously making decisions that affect humans directly, several concerns and challenges are raised that pertain to machine ethics and the societal impact of technology that need to be investigated from multiple angles [96].…”

Section: Technology Ethics and Societymentioning

confidence: 99%

A Cross-Disciplinary Outlook of Directions and Challenges in Industrial Electronics

She

Guzmán-Miranda

Huang³

et al. 2022

IEEE Open J. Ind. Electron. Soc.

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How to build a sustainable society in view of industrial electronics has been discussed from energy, information and communication technologies, cyber-physical systems (CPSs), and other viewpoints. This paper presents a cross-disciplinary view that integrates the fields of human factors, professional education, electronic systems on chip, resilience and security for industrial applications, technology ethics and society, and standards. After explaining the efforts and challenges in these fields, this paper shows a methodology for crossdisciplinary technology that integrates the technical committees in Cluster 4, Industrial Electronics Society. A project, which was launched in March 2020, implements a 'Proof of Concept' trial of the methodology.INDEX TERMS Cross-disciplinary technology, electronic systems on chip, human factors, resilience and security for industrial applications, professional education, technology ethics, standards, sustainable society.

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Conceptual Framework

Roumate

2024

Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications

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Towards symbiotic autonomous systems

Cited by 4 publications

References 15 publications

Accelerating human–computer interaction through convergent conditions for LLM explanation

Accelerating human–computer interaction through convergent conditions for LLM explanation

A Cross-Disciplinary Outlook of Directions and Challenges in Industrial Electronics

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