Trustworthy autonomous systems: challenges and enablers

Joanna Isabelle Olszewska*

*Corresponding author for this work

Research output: Contribution to conferencePresentationpeer-review

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.
Original languageEnglish
Publication statusPublished - 22 Oct 2025
Event2nd International Conference on Explainable AI for Neural and Symbolic Methods - Marbella, Spain
Duration: 22 Oct 202524 Oct 2025
https://explains.scitevents.org/?y=2025

Conference

Conference2nd International Conference on Explainable AI for Neural and Symbolic Methods
Abbreviated titleEXPLAINS 2025
Country/TerritorySpain
CityMarbella
Period22/10/2524/10/25
Internet address

Keywords

  • trustworthy autonomous systems (TAS)
  • explainable artificial intelligence (XAI)
  • software and system reliability
  • artificial intelligence testing
  • verification of autonomous systems (VAS)
  • artificial intelligence (AI) and robotics standards
  • ontologies supporting ethical AI
  • autonomous systems
  • intelligent systems
  • knowledge-based systems
  • decision-support systems
  • human-AI collaboration
  • human-robot interaction
  • robotic systems
  • intelligent vision systems

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