A New AI Evaluation Cosmos: Ready to Play the Game?
Artikel i vetenskaplig tidskrift, 2017
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.
Författare
J. Hernandez-Orallo
Universitat Politecnica de Valencia (UPV)
M. Baroni
Facebook, Inc.
Universita degli Studi di Trento
J. Bieger
Reykjavik University
N. Chmait
Monash University
D. L. Dowe
Monash University
K. Hofmann
Microsoft Research
F. Martinez-Plumed
Universitat Politecnica de Valencia (UPV)
Claes Strannegård
Chalmers, Data- och informationsteknik, Datavetenskap
K. R. Thorissons
Reykjavik University
Icelandic Institute of Intelligent Machines
AI Magazine
0738-4602 (ISSN)
Vol. 38 3 66-69Ämneskategorier
Datavetenskap (datalogi)
DOI
10.1609/aimag.v38i3.2748