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CommAI: Evaluating the first steps towards a useful general AI

Machine Learning 2017-03-29 v2 Artificial Intelligence Computation and Language

Abstract

With machine learning successfully applied to new daunting problems almost every day, general AI starts looking like an attainable goal. However, most current research focuses instead on important but narrow applications, such as image classification or machine translation. We believe this to be largely due to the lack of objective ways to measure progress towards broad machine intelligence. In order to fill this gap, we propose here a set of concrete desiderata for general AI, together with a platform to test machines on how well they satisfy such desiderata, while keeping all further complexities to a minimum.

Keywords

Cite

@article{arxiv.1701.08954,
  title  = {CommAI: Evaluating the first steps towards a useful general AI},
  author = {Marco Baroni and Armand Joulin and Allan Jabri and Germàn Kruszewski and Angeliki Lazaridou and Klemen Simonic and Tomas Mikolov},
  journal= {arXiv preprint arXiv:1701.08954},
  year   = {2017}
}

Comments

Published in ICLR 2017 Workshop Track

R2 v1 2026-06-22T18:04:59.245Z