Kusters, Remy and Misevic, Dusan and Berry, Hugues and Cully, Antoine and Le Cunff, Yann and Dandoy, Loic and Díaz-Rodríguez, Natalia and Ficher, Marion and Grizou, Jonathan and Othmani, Alice and Palpanas, Themis and Komorowski, Matthieu and Loiseau, Patrick and Moulin Frier, Clément and Nanini, Santino and Quercia, Daniele and Sebag, Michele and Soulié Fogelman, Françoise and Taleb, Sofiane and Tupikina, Liubov and Sahu, Vaibhav and Vie, Jill-Jênn and Wehbi, Fatima
The use of artificial intelligence (AI) in a variety of research fields is speeding up multiple digital revolutions, from shifting paradigms in healthcare, precision medicine and wearable sensing, to public services and education offered to the masses around the world, to future cities made optimally efficient by autonomous driving. When a revolution happens, the consequences are not obvious straight away, and to date, there is no uniformly adapted framework to guide AI research to ensure a sustainable societal transition. To answer this need, here we analyze three key challenges to interdisciplinary AI research, and deliver three broad conclusions: (i) future development of AI should not only impact other scientific domains but should also take inspiration and benefit from other fields of science, (ii) AI research must be accompanied by decision explainability, dataset bias transparency as well as development of evaluation methodologies and creation of regulatory agencies to ensure responsibility, and (iii) AI education should receive more attention, efforts and innovation from the educational and scientific communities. Our analysis is of interest not only to AI practitioners but also to other researchers and the general public as it offers ways to guide the emerging collaborations and interactions towards the most fruitful outcomes.
@article{kusters2020InterdisciplinaryResearchArtificial,
title = {Interdisciplinary {{Research}} in {{Artificial Intelligence}}: {{Challenges}} and {{Opportunities}}},
shorttitle = {Interdisciplinary {{Research}} in {{Artificial Intelligence}}},
author = {Kusters, Remy and Misevic, Dusan and Berry, Hugues and Cully, Antoine and Le Cunff, Yann and Dandoy, Loic and {D{\'i}az-Rodr{\'i}guez}, Natalia and Ficher, Marion and Grizou, Jonathan and Othmani, Alice and Palpanas, Themis and Komorowski, Matthieu and Loiseau, Patrick and Moulin Frier, Cl{\'e}ment and Nanini, Santino and Quercia, Daniele and Sebag, Michele and Souli{\'e} Fogelman, Fran{\c c}oise and Taleb, Sofiane and Tupikina, Liubov and Sahu, Vaibhav and Vie, Jill-J{\^e}nn and Wehbi, Fatima},
year = {2020},
volume = {3},
publisher = {{Frontiers}},
issn = {2624-909X},
doi = {10.3389/fdata.2020.577974},
journal = {Frontiers in Big Data}
}
