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Human language contains different types of information. We understand it all unconsciously, but explaining it systematically is much more difficult. The same is true for machines. The NoRDF Project Chair “Modeling and Extracting Complex Information from Natural Language Text” seeks to solve this problem: how can we teach algorithms to model and extract complex information from language? […]
In recent decades, algorithms have become increasingly complex, particularly through the introduction of deep learning architectures. This has gone hand in hand with increasing difficulty in explaining their internal functioning, which has become an important issue, both legally and socially. Winston Maxwell, legal researcher, and Florence d’Alché-Buc, researcher in machine learning, who both work for Télécom Paris, describe the current challenges involved in the explainability of algorithms.
Social media advertising algorithms can create paradoxical situations, where messages aimed at women are mostly displayed to men. These are the findings of successive research projects carried out by Grazia Cecere at the Institut Mines-Télécom Business School, in partnership with EPITECH, the University of Paris-Saclay and the MIT School of Management. The team has shed light […]
Marc-Oliver Pahl is a researcher in cybesecurity at IMT Atlantique. In 2018, he launched “Being human with algorithms”, a series of video interviews between technicians and non-technicians around the topic of digital transformation. Through open discussions and dialogues, he depicts how digital technologies are perceived, and affect humans as citizens, consumers, workers… In this episode, […]
Marc-Oliver Pahl is a researcher in cybesecurity at IMT Atlantique. In 2018, he launched “Being human with algorithms”, a series of video interviews between technicians and non-technicians around the topic of digital transformation. Through open discussions and dialogues, he depicts how digital technologies are perceived, and affect humans as citizens, consumers, workers… In this episode, […]
Marc-Oliver Pahl is a researcher in cybesecurity at IMT Atlantique. In 2018, he launched “Being human with algorithms”, a series of video interviews between technicians and non-technicians around the topic of digital transformation. Through open discussions and dialogues, he depicts how digital technologies are perceived, and affect humans as citizens, consumers, workers… In this episode, […]
Producing high-quality raw materials from waste is contingent on effective sorting. Plastics from waste electrical and electronic equipment (WEEE) are no exception. To help solve this problem, researchers at IMT Mines Alès have developed a selective automation algorithm designed for these plastics. It can be integrated in new industrial-scale sorting machines. How will your […]
From music suggestions to help with medical diagnoses, population surveillance, university selection and professional recruitment, algorithms are everywhere, and transform our everyday lives. Sometimes, they lead us astray. At fault are the statistical, economic and cognitive biases inherent to the very nature of the current algorithms, which are supplied with massive data that may be […]
The possibilities offered by algorithms and artificial intelligence in the healthcare field raise many questions. What risks do they pose? How can we ensure that they have a positive impact on the patient as an individual? What safeguards can be put in place to ensure that the values of our healthcare system are respected? […]
David Bounie, Professor of Economics, Head of Economics and Social Sciences at Télécom ParisTech Patrick Waelbroeck, Professor of Industrial Economy and Econometrics at Télécom ParisTech and co-founder of the Chair Values and Policies of Personal Information [divider style=”dotted” top=”20″ bottom=”20″] The original version of this article was published on the website of the Chair Values and […]
