We propose a new task, non localized scene graph verification, whose objective is to provide a justified expression of inconsistencies between the visual content of the image and its non-localized scene graph in order to diagnose errors or anticipate corrections. We introduce a sequential algorithm capable of detecting and proposing plausible corre...
In this paper we present a multidimensional approach to the concept of Trust in complex technical environments. A survey allows to focus on the two main types: Interpersonal Trust (IT) and Trust in Automation (TA), an extended generic conceptual modeling based on a grounded theory methodology is proposed; finally the first phase of an experimental ...
Acceptability and trust toward an Artificial Agent (AA) are known to be strongly related to the transparency of its behavior. However, the opacity of the AI techniques implemented to drive the behavior of AAs is growing in parallel with their performance (performance/transparency trade-off). Thus, it is crucial and increasingly required to identify...
International audience
Des programmes d'intelligence artificielle (IA) commencent d'être déployés, qui permettent l'identification des vices de forme affectant des actes de procédure. Ils promettent, en conformant totalement la procédure pénale, de saturer immédiatement et durablement l'institution. Dans le projet d'IA Act, la Commission ne s'intéresse pourtant qu'à la m...
TRA 2022, Transport Research Arena, Lisbon, PORTUGAL, 14-/11/2022 - 17/11/2022
National audience
We have identified three points that demonstrate the normative influence of AI on intellectual property law:First, the application of intellectual property law to AI is going to be conditioned by the ethical and legal norms that frame the use of AI.Second, AI is a tricky innovation to bring into the intellectual property fold because of its evolvin...
