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A New AI Evaluation Cosmos: Ready to Play the Game?

J. Hernandez-Orallo ; M. Baroni ; J. Bieger ; N. Chmait ; D. L. Dowe ; K. Hofmann ; F. Martinez-Plumed ; Claes Strannegård (Institutionen för data- och informationsteknik, Datavetenskap (Chalmers)) ; K. R. Thorissons
The AI Magazine (0738-4602). Vol. 38 (2017), 3, p. 66-69.
[Artikel, refereegranskad vetenskaplig]

We report on a series of new platforms and events dealing with AI evaluation that may change the way in which AI systems are compared and their progress is measured. The introduction of a more diverse and challenging set of tasks in these platforms can feed AI research in the years to come, shaping the notion of success and the directions of the field. However, the playground of tasks and challenges presented there may misdirect the field without some meaningful structure and systematic guidelines for its organization and use. Anticipating this issue, we also report on several initiatives and workshops that are putting the focus on analyzing the similarity and dependencies between tasks, their difficulty, what capabilities they really measure and ultimately on elaborating new concepts and tools that can arrange tasks and benchmarks into a meaningful taxonomy.



Denna post skapades 2017-10-30. Senast ändrad 2017-11-13.
CPL Pubid: 252823

 

Institutioner (Chalmers)

Institutionen för data- och informationsteknik, Datavetenskap (Chalmers)

Ämnesområden

Datavetenskap (datalogi)

Chalmers infrastruktur