A Paradigm for Democratizing Artificial Intelligence Research

Abstract : This proposal outlines a plan for bridging the gap between technology experts and society in the domain of Artificial Intelligence (AI). The proposal focuses primarily on Natural Language Processing (NLP) technology, which is a major part of AI and offers the advantage of addressing problems that non-experts can understand. More precisely, the goal is to advance knowledge at the same time as opening new communication channels between experts and society, in a way which promotes non-expert participation in the conception of NLP technology. Such interactions can happen in the context of open-source development of languages resources, i.e. software tools and datasets; existing usages in various communities show how projects which are open to everyone can greatly benefit from the free participation of enthusiastic contributors (participation is not at all limited to software development). Because NLP research is mostly experimental and relies heavily on software tools and language datasets, this project proposes to interconnect the societal issues related to AI with the NLP research resources issue.
Liste complète des métadonnées

Littérature citée [53 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-02281202
Contributeur : Erwan Moreau <>
Soumis le : dimanche 8 septembre 2019 - 20:10:06
Dernière modification le : mercredi 11 septembre 2019 - 01:15:01

Fichier

preprint-version.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Erwan Moreau, Carl Vogel, Marguerite Barry. A Paradigm for Democratizing Artificial Intelligence Research. Innovations in Big Data Mining and Embedded Knowledge, pp.137-166, 2019, ⟨10.1007/978-3-030-15939-9_8⟩. ⟨hal-02281202⟩

Partager

Métriques

Consultations de la notice

41

Téléchargements de fichiers

120