Trust Management for Artificial Intelligence: A Standardization Perspective
Source abstract
Abstract
With the continuous increase in the development and use of artificial intelligence systems and applications, problems due to unexpected operations and errors of artificial intelligence systems have emerged. In particular, the importance of trust analysis and management technology for artificial intelligence systems is continuously growing so that users who desire to apply and use artificial intelligence systems can predict and safely use services. This study proposes trust management requirements for artificial intelligence and a trust management framework based on it. Furthermore, we present challenges for standardization so that trust management technology can be applied and spread to actual artificial intelligence systems. In this paper, we aim to stimulate related standardization activities to develop globally acceptable methodology in order to support trust management for artificial intelligence while emphasizing challenges to be addressed in the future from a standardization perspective.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Privacy-Preserving Technologies in Data · Explainable Artificial Intelligence (XAI) · Artificial Intelligence in Healthcare and Education
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Graduate School of Data Science, Chonnam National University, Gwangju 61186, Korea
School of Electronics and Computer Engineering, Chonnam National University, Gwangju 61186, Korea
Intelligent Convergence Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon 34129, Korea
Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool L3 3AF, UK
Funding
Institute of Information & communications Technology Planning & Evaluation (IITP) · Korean government (MSIT) · Artificial Intelligence Innovation Hub · Development of Collective Collaboration Intelligence Framework for Internet of Autonomous Things
References (29)
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