A Formal Theory of AI Trustworthiness for Evaluating Autonomous AI Systems | |
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Author | |
Abstract |
Advances in the frontier of intelligence and system sciences have triggered the emergence of Autonomous AI (AAI) systems. AAI is cognitive intelligent systems that enable non-programmed and non-pretrained inferential intelligence for autonomous intelligence generation by machines. Basic research challenges to AAI are rooted in their transdisciplinary nature and trustworthiness among interactions of human and machine intelligence in a coherent framework. This work presents a theory and a methodology for AAI trustworthiness and its quantitative measurement in real-time context based on basic research in autonomous systems and symbiotic human-robot coordination. Experimental results have demonstrated the novelty of the methodology and effectiveness of real-time applications in hybrid intelligence systems involving humans, robots, and their interactions in distributed, adaptive, and cognitive AI systems. |
Year of Publication |
2022
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Date Published |
oct
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Publisher |
IEEE
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Conference Location |
Prague, Czech Republic
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ISBN Number |
978-1-66545-258-8
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URL |
https://ieeexplore.ieee.org/document/9945351/
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DOI |
10.1109/SMC53654.2022.9945351
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