Kunstig intelligens åbner op for teknologiske løsninger på problemer, der tidligere blev betragtet som afhængige af menneskelig intelligens. Det gør det muligt at levere menneskecentrerede løsninger, der i samarbejde mellem mennesket og AI-systemet både er mere effektive og af højere kvalitet end løsninger skabt af mennesker eller AI alene.
However, compared to traditional problem solving based on logical rules and procedures, some artificial intelligence systems, in particular systems based on neural networks (e.g. as in deep learning), do not offer a human-understandable explanation to the answers given. Lack of explanation is not necessarily a problem, e.g. if the correctness of an answer can be easily validated, such as automatic character recognition subsequently validated by a human. However, in some situations, a lack of explanation may pose severe problems, and may even be illegal as it is the case for governmental decisions.
University of Copenhagen
Department of Computer Science
E: hilde@di.ku.dk
University of Copenhagen
Department of Computer Science
University of Copenhagen
Department of Computer Science
University of Copenhagen
Department of Computer Science
University of Copenhagen
Department of Computer Science
University of Copenhagen
Department of Computer Science
Aarhus University
Department of Computer Science
Aarhus University
Department of Computer Science
Technical University of Denmark
DTU Compute
Technical University of Denmark
DTU Compute
Aalborg University
Department of Computer Science
Aalborg University
Department of Computer Science
Aalborg University
Department of Computer Science
Aalborg University
Department of Computer Science
University of Southern Denmark
The Maersk Mc-Kinney Moller Institute
IT University of Copenhagen
Digital Design Department
iT University of Copenhagen
Department of Business IT
Copenhagen Business School
Department of Digitalization
The Alexandra Institute
KMD
NEC Labs Europe
Heidelberg
NEC Labs Europe
Department of Computer Science
DCR Solutions