Machine Learning to Save Languages or Prevent Collusion
Ashwin Ittoo
In this episode (in French), Arnaud Stiepen explores with Ashwin Ittoo a timely topic: the use of machine learning, a branch of artificial intelligence, in areas as diverse as translating underrepresented languages — through innovative techniques like the pivot method — or detecting tacit collusion to better protect consumers.
But beyond technological achievements, the episode also tackles essential questions: the risks linked to AI, ethical challenges, and the policies put in place by the European Union to fight against deepfakes and misinformation.
A must-listen episode for anyone curious to understand AI’s impact on our society and the collective choices it implies.
Read the article related to this episode here.
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Scientific articles discussed in this episode
Gautier, A., Ittoo, A., & Van Cleynenbreugel, P. (July 2020). AI algorithms, price discrimination and collusion: a technological, economic and legal perspective. European Journal of Law and Economics, 50 (3), 405-435. doi:10.1007/s10657-020-09662-6 https://hdl.handle.net/2268/250255
Poumay, J., & Ittoo, A. (2021). A Comprehensive Comparison of Word Embeddings in Event & Entity Coréférence Resolution. In Findings of ACL: EMNLP 2021. Punta Cana, Dominican Republic: Association for Computational Linguistics. doi:10.18653/v1/2021.findings-emnlp.235 https://hdl.handle.net/2268/267116
Trieu, H. L., Ittoo, A., & Nguyen, L. M. (2019). Leveraging Resources for Statistical Machine Translation on Asian Low Resource Languages. ACM Transactions on Asian and Low-Resource Language Information Processing, 18 (3). doi:10.1145/3314936 https://hdl.handle.net/2268/227493
