Title :

Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities

Author(s) :

Kusters, Remy [Auteur]
Misevic, Dusan [Auteur]
Berry, Hugues [Auteur]
Artificial Evolution and Computational Biology [BEAGLE]
Cully, Antoine [Auteur]
Imperial College London
Le Cunff, Yann [Auteur]
Institut de Génétique et Développement de Rennes [IGDR]
Dandoy, Loic [Auteur]
Díaz-Rodríguez, Natalia [Auteur]
École Nationale Supérieure de Techniques Avancées [ENSTA Paris]
Flowing Epigenetic Robots and Systems [Flowers]
Ficher, Marion [Auteur]
Grizou, Jonathan [Auteur]
Othmani, Alice [Auteur]
Laboratoire Images, Signaux et Systèmes Intelligents [LISSI]
Palpanas, Themis [Auteur]
Institut Universitaire de France [IUF]
Komorowski, Matthieu [Auteur]
Imperial College London
Loiseau, Patrick [Auteur]
Performance analysis and optimization of LARge Infrastructures and Systems [POLARIS]
Moulin-Frier, Clément [Auteur]
Flowing Epigenetic Robots and Systems [Flowers]
Nanini, Santino [Auteur]
Quercia, Daniele [Auteur]
Nokia Bell Labs [Cambridge]
Sebag, Michele [Auteur]
TAckling the Underspecified [TAU]
Soulié Fogelman, Françoise [Auteur]
Hub France IA
Taleb, Sofiane [Auteur]
Tupikina, Liubov [Auteur]
Nokia Bell Labs [Paris-Saclay]
Sahu, Vaibhav [Auteur]
Vie, Jill-JÊnn [Auteur]
Scool [Scool]
Wehbi, Fatima [Auteur]

Journal title :

Frontiers in Big Data

Publisher :

Frontiers

Publication date :

2020-11-23

ISSN :

2624-909X

English keyword(s) :

Artificial intelligence
Interdisciplinary science
Education
Ethics
Auditability
Interpretability

HAL domain(s) :

Sciences cognitives/Informatique
Informatique [cs]/Intelligence artificielle [cs.AI]
Informatique [cs]/Système multi-agents [cs.MA]
Informatique [cs]/Réseau de neurones [cs.NE]

English abstract : [en]

The use of artificial intelligence (AI) in a variety of researchfields is speeding up multipledigital revolutions, from shifting paradigms in healthcare, precision medicine and wearablesensing, to public services and ...
Show more >The use of artificial intelligence (AI) in a variety of researchfields is speeding up multipledigital revolutions, from shifting paradigms in healthcare, precision medicine and wearablesensing, to public services and education offered to the masses around the world, to futurecities made optimally efficient by autonomous driving. When a revolution happens, theconsequences are not obvious straight away, and to date, there is no uniformly adaptedframework to guide AI research to ensure a sustainable societal transition. To answer thisneed, here we analyze three key challenges to interdisciplinary AI research, and deliverthree broad conclusions: 1) future development of AI should not only impact other scientificdomains but should also take inspiration and benefit from otherfields of science, 2) AIresearch must be accompanied by decision explainability, dataset bias transparency aswell as development of evaluation methodologies and creation of regulatory agencies toensure responsibility, and 3) AI education should receive more attention, efforts andinnovation from the educational and scientific communities. Our analysis is of interest notonly to AI practitioners but also to other researchers and the general public as it offers waysto guide the emerging collaborations and interactions toward the most fruitful outcomes.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL