Trustworthy autonomous systems:challenges and enablers
Abstract
With Artificial Intelligence (AI) technologies becoming ubiquitous in people’s daily life, trustworthiness in these intelligent and autonomous systems is crucial. For this purpose, this tutorial will outline the major challenges of trustworthy autonomous systems, while it will highlight the enablers to develop and deploy such systems. In particular, the tutorial will cover methods and guidelines for designing, developing, testing and verifying autonomous systems. Furthermore, this tutorial will present IEEE and ISO/IEC/IEEE standards for the design and development of autonomous systems so they meet not only technical but also societal expectations – leading thus to the trustworthiness in autonomous systems- conferenceObject
- info:eu-repo/semantics/publishedVersion
- trustworthy automonous systems (TAS)
- interpretable and explainable artificial intelligence (XAI)
- artificial intelligence testing
- verification of autonomous systems (VAS)
- ontologies for ethical AI
- artificial intelligence (AI) and robotics standards
- software and system reliability
- autonomous systems
- intelligent systems
- knowledge-based systems
- decision-support systems
- expert systems
- recommender systems
- human-AI collaboration
- human-robot interaction
- robotic systems
- intelligent vision systems