Challenges in Applying Human Reliability Analysis in Systems Containing Artificial Intelligence
Open Access
Article
Conference Proceedings
Authors: Martin Rasmussen Skogstad, Ronald Boring, Jan Hayes
Abstract
Can we use the same methods to analyze human reliability, if actions, tasks, and interactions change? This paper discusses three challenges of using traditional static human reliability analysis (HRA) on systems that include AI-elements: 1) how to incorporate and include AI in the quantification of human reliability, 2) how to apply HRA to changing tasks and working conditions, and 3) how to include indirect effects to human reliability.
Keywords: Human Reliability Analysis, Artificial Intelligence
DOI: 10.54941/ahfe1004875
Cite this paper
Downloads
761
Visits
1293
More from this volume
← Human reliability in the German site selection for a nuclear waste repositoryModel, Method, and Data Issues in Human Reliability Analysis (HRA) →
- Human reliability in the German site selection for a nuclear waste repository
- Model, Method, and Data Issues in Human Reliability Analysis (HRA)
- The Influence of Set Size in a Dynamic Decision-Making Task
- Nuclear Power Plant Maintenance and Commissioning Activities from the Perspective of HRA: A Comparative Study
- Data Collection and Analysis of Patient and Document Flow During a Disaster Exercise at a Large Hospital
- Dynamic Assessment Method for Group Decision-making Errors in Extreme Work Environment Driven by Team Cognitive Model
- Flight Simulation Task Performance Predicts Military Multitasking Better Than Laboratory Measures
- Investigation of human performance in diagnosing unexpected events at nuclear power plants
- Field operators' visual inspection practices in the operating Finnish nuclear power plants
- Critical analysis of the interviews in the investigation of accidents in the O&G area – case study of 19 accidents in Brazil
- Data Collection and Analysis of Inter-Area Communication During a Disaster Exercise at a Large Hospital
- Mitigating Human Error in Civil Aviation: A Cognitive Analysis of Job tasks Using Success Likelihood Index Method (SLIM)


AHFE Open Access