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

Universita degli Studi di Trento

Facebook, Inc.

J. Bieger

Reykjavik University

N. Chmait

Monash University

D. L. Dowe

Monash University

K. Hofmann

Microsoft Research Cambridge

F. Martinez-Plumed

Universitat Politecnica de Valencia (UPV)

Claes Strannegård

Chalmers, Data- och informationsteknik, Datavetenskap

K. R. Thorissons

Icelandic Institute of Intelligent Machines

Reykjavik University

AI Magazine

0738-4602 (ISSN)

Vol. 38 3 66-69

Ämneskategorier

Datavetenskap (datalogi)