Add to ORKGIn this paper the traditional paradigm for learning and training of operators in complex systems is discussed and criticised. There is a strong influence coming from research carried out in artificial intelligence (AI). The most well known arguments against the AI-approach are presented and discussed in relation to expertise, intuition and implicit knowledge. The importance of faults and errors are discussed in the context of a new metaphor for cognitive structures to describe expertise, and how knowledge about unsuccessful behaviour influences the actual decision
Automated systems like self-driving cars and “smart” thermostats are a challenge for fault-based leg...
How latent error or violation induces a serious accident has been reviewed and a proper addressing m...
Artificial intelligence (AI) is ushering in a brave new world. Critics decry computer vision as “kil...
In this paper the traditional paradigm for learning and training of operators in complex systems is ...
The traditional paradigm for learning and training of operators in complex systems is discussed and ...
In this paper the traditional paradigm for learning and training of operators in complex systems is ...
International audienceAn expert trouble-shooter is a subject who has a great deal of experience in h...
Human error is cited over and over as a cause of incidents and accidents. The result is a widespread...
This paper seeks to explore the ways in which machine learning and AI may influence the world in the...
Making mistakes is an intrinsic human feature. But far to be an unwelcome feature, it is useful. For...
Position papers on artificial intelligence (AI) ethics are often framed as attempts to work out tech...
How do you measure the social impact of human error? Research is not immune from failed reasoning di...
AI incidents, often resulting from the complex interplay of algorithms, human agents, and situations...
Analyses of industrial accidents have often concluded that 'human error ' is a determining...
As AI technologies increase in capability and ubiquity, AI accidents are becoming more common. Based...
Automated systems like self-driving cars and “smart” thermostats are a challenge for fault-based leg...
How latent error or violation induces a serious accident has been reviewed and a proper addressing m...
Artificial intelligence (AI) is ushering in a brave new world. Critics decry computer vision as “kil...
In this paper the traditional paradigm for learning and training of operators in complex systems is ...
The traditional paradigm for learning and training of operators in complex systems is discussed and ...
In this paper the traditional paradigm for learning and training of operators in complex systems is ...
International audienceAn expert trouble-shooter is a subject who has a great deal of experience in h...
Human error is cited over and over as a cause of incidents and accidents. The result is a widespread...
This paper seeks to explore the ways in which machine learning and AI may influence the world in the...
Making mistakes is an intrinsic human feature. But far to be an unwelcome feature, it is useful. For...
Position papers on artificial intelligence (AI) ethics are often framed as attempts to work out tech...
How do you measure the social impact of human error? Research is not immune from failed reasoning di...
AI incidents, often resulting from the complex interplay of algorithms, human agents, and situations...
Analyses of industrial accidents have often concluded that 'human error ' is a determining...
As AI technologies increase in capability and ubiquity, AI accidents are becoming more common. Based...
Automated systems like self-driving cars and “smart” thermostats are a challenge for fault-based leg...
How latent error or violation induces a serious accident has been reviewed and a proper addressing m...
Artificial intelligence (AI) is ushering in a brave new world. Critics decry computer vision as “kil...