R
Raja Chatila
Researcher at University of Paris
Publications - 154
Citations - 11697
Raja Chatila is an academic researcher from University of Paris. The author has contributed to research in topics: Mobile robot & Robot. The author has an hindex of 39, co-authored 150 publications receiving 7579 citations. Previous affiliations of Raja Chatila include Hoffmann-La Roche & National Research University – Higher School of Economics.
Papers
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Journal ArticleDOI
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Alejandro Barredo Arrieta,Natalia Díaz-Rodríguez,Javier Del Ser,Javier Del Ser,Adrien Bennetot,Adrien Bennetot,Siham Tabik,Alberto Barbado,Salvador García,Sergio Gil-Lopez,Daniel Molina,Richard Benjamins,Raja Chatila,Francisco Herrera +13 more
TL;DR: In this paper, a taxonomy of recent contributions related to explainability of different machine learning models, including those aimed at explaining Deep Learning methods, is presented, and a second dedicated taxonomy is built and examined in detail.
Posted Content
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI.
Alejandro Barredo Arrieta,Natalia Díaz-Rodríguez,Javier Del Ser,Javier Del Ser,Adrien Bennetot,Adrien Bennetot,Siham Tabik,Alberto Barbado,Salvador García,Sergio Gil-Lopez,Daniel Molina,Richard Benjamins,Raja Chatila,Francisco Herrera +13 more
TL;DR: Previous efforts to define explainability in Machine Learning are summarized, establishing a novel definition that covers prior conceptual propositions with a major focus on the audience for which explainability is sought, and a taxonomy of recent contributions related to the explainability of different Machine Learning models are proposed.
Journal ArticleDOI
AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations
Luciano Floridi,Luciano Floridi,Josh Cowls,Josh Cowls,Monica Beltrametti,Raja Chatila,Patrice Chazerand,Virginia Dignum,Virginia Dignum,Christoph Luetge,Robert Madelin,Ugo Pagallo,Francesca Rossi,Francesca Rossi,Burkhard Schafer,Peggy Valcke,Peggy Valcke,Effy Vayena +17 more
TL;DR: The core opportunities and risks of AI for society are introduced; a synthesis of five ethical principles that should undergird its development and adoption are presented; and 20 concrete recommendations are offered to serve as a firm foundation for the establishment of a Good AI Society.
Proceedings ArticleDOI
Position referencing and consistent world modeling for mobile robots
Raja Chatila,Jean-Paul Laumond +1 more
TL;DR: The approach proposed in this paper relies on the use of a multisensory system, favo ring of the data collected by the more accurate sensor in a given situation, averaging of different but consistent measurements of the same entity weighted with their associated uncertainties.
Journal ArticleDOI
An Architecture for Autonomy
TL;DR: An integrated architecture that allows a mobile robot to plan its tasks—taking into account temporal and domain constraints, to perform corresponding actions and to con trol their execution in real-time—while being reactive to possible events is described.