The NL4XAI project recently organized a workshop focused on NLG evaluation, specifically addressing the challenges and tools used in this domain. The workshop took place on Thursday, 1st June, and provided a forum for researchers to discuss the strengths and drawbacks of various evaluation tools commonly employed in NLG research. Read more…
interview Juliette Faille, CNRS Juliette Faille, a promising NL4XAI Early Stage Researcher, is currently based at the prestigious Centre National de la Recherche Scientifique (CNRS) in France. Her research focus centers on developing Explainable Models for Text Production, a critical field in natural language processing. In this interview, we will Read more…
Ettore Mariotti, a MSCA PhD researcher at CiTIUS-USC, is working on Explainable Artificial Intelligence (XAI) within the NL4XAI project. His research includes both explaining black box AI models and developing white box approaches to improve transparency and trustworthiness. Recently, he was interviewed by Matteo Ciprian, a Machine Learning Engineer based Read more…
interview Alisa Rieger, TU Delft Alisa Rieger is an Early Stage Researcher in the NL4XAI project and a PhD student at Delft University of Technology in the Netherlands. Within the NL4XAI project, she is working on the interactions to mitigate human biases. “Being an ESR in the NL4XAI project allowed Read more…
Prof. Nava Tintarev, professor of Explainable Artificial Intelligence at MaastrichtUniversity (Department of Advanced Computing Sciences/FSE) is a co-Investigatorand the chair of the social sciences and humanities committee of ROBUST. Theprogramme, which will boost fundamental research in artificial intelligencethrough public-private collaborations, has a total budget of over 87 millioneuros. Read more…
Prof. Claire Gardent, NL4XAI supervisor and Senior Researcher at LORIA-CNRS, has been selected as a 2022 fellow of the Association for Computational Linguistics (ACL). Claire Gardent was one of eight new fellows chosen last year by the ACL’s Nominating Committee. The organization cited Claire’s significant contributions to linguistically informed Read more…
Claire Gardent, NL4XAI supervisor and senior researcher at LORIA-CNRS, was awarded the 2022 silver medal from the Centre National de la Recherche Scientifique (CNRS). Claire Gardent, NL4XAI supervisor and senior researcher at LORIA-CNRS, was awarded the2022 silver medal from the Centre National de la Recherche Scientifique (CNRS). The CNRS silver Read more…
On the 19th of April, scientists from different countries will meet with big tech companies such as Google and Orange in Nancy (France). This combination of industry practitioners, senior researchers, and all the current members of the European research project NL4XAI (Natural Language Technologies for Explainable Artificial Intelligence) will combine Read more…
By Jaime Sevilla, PhD at UNIABDN. We have compiled information about the date of development and trainable parameter counts of n=139 machine learning systems between 1952 and 2021. This is, as far as we know, the biggest public dataset of its kind. The accompanying article, published in the Aligment Forum, Read more…
By Luca Nannini, PhD at Indra, Minsait. The blog article is an exploratory analysis of how XAI principles could leverage user trust and data integrity in blockchain systems. Through a preliminary overview of the current international AI ethics news, an introduction to explainable AI is provided. Furthermore, there are presented Read more…
