• norsk
    • English
  • English 
    • norsk
    • English
  • Login
View Item 
  •   Home
  • Øvrige samlinger
  • Publikasjoner fra CRIStin - NTNU
  • View Item
  •   Home
  • Øvrige samlinger
  • Publikasjoner fra CRIStin - NTNU
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Improving reproducibility of artificial intelligence research to increase trust and productivity

Gundersen, Odd Erik
Chapter
Published version
View/Open
3f57323a-en-2.pdf (Locked)
URI
https://hdl.handle.net/11250/3084329
Date
2023
Metadata
Show full item record
Collections
  • Institutt for datateknologi og informatikk [7453]
  • Publikasjoner fra CRIStin - NTNU [41957]
Original version
10.1787/a8d820bd-en
Abstract
Several recent studies have shown that many scientific results cannot be trusted. While the “reproducibility crisis” was first recognised in psychology, the problem affects most if not all branches of science. This essay analyses the underlying issues causing research to be irreproducible – with a focus on artificial intelligence (AI) – so that mitigating policies can be formulated.
Publisher
OECD Publishing
Copyright
This version will not be available due to the publisher's copyright.

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit
 

 

Browse

ArchiveCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsDocument TypesJournalsThis CollectionBy Issue DateAuthorsTitlesSubjectsDocument TypesJournals

My Account

Login

Statistics

View Usage Statistics

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit