The increasing complexity of deep learning models necessitates advanced methods for model coverage assessment, a critical factor for their reliable deployment. In this study, we introduce a novel approach leveraging topological data analysis to evaluate the coverage of a couple dataset & classification model. By using tools from topological data an...
The tutelage of our mentors as scientists included the analogy that writing a good scientific paper was an exercise in storytelling that omitted unessential details that did not move the story forward or that detracted from the overall message. However, the advice to not get lost in the details had an important flaw. In science, it is the many deta...
This white paper sums up the journey and findings of theprogram Confiance.ai, the technological pillar of the GrandDéfi “Securing, certifying and enhancing the reliability of systemsbased on artificial intelligence” launched by the InnovationCouncil of the French Administration. The two other pillars of thisstate initiative focus on standardization...
Le règlement sur l’intelligence artificielle (AI Act) est entré en vigueur le 1er août 2024 dans l’Union européenne. Il s’agit d’un texte-clé tant pour les citoyens placés au cœur des technologies d’IA que pour l’industrie active dans le marché intérieur. L’AI Act impose une mise en conformité progressive pour les organisations – privées comme publ...
To gain a competitive advantage in the industry through the effective deployment of AI, it is necessary to expand traditional engineering disciplines to encompass AI specificconsiderations. This allows to assess and mitigate the risks associated with AI technologies, and hence to leverage their potential to enhance system autonomy. Maintaining a hi...
Trustworthiness in wireless networks is an open challenge due to several features that should be taken into account. All the networking concepts should be updated accordingly, as well as physical layer features that influence the node transmission ability. Indeed, a trusted vehicle is expected to efficiently forward data packets, in order to reach ...
We combined a natural experiment (the occurrence of the COVID-19 pandemic in 2020) with the tools of laboratory experiments to study whether and how an unprecedented shock on social interactions (the introduction and abrogation of a nationwide lockdown) affected the evolution of individuals' social preferences, and willingness to trust others. In a...
Digital twins (DTs) are an emerging digitalization technology with a huge impact on today’s innovations in both industry and research. DTs can significantly enhance our society and quality of life through the virtualization of a real-world physical system, providing greater insights about their operations and assets, as well as enhancing their resi...
Funder: Monash University / With focus on the development and use of artificial intelligence (AI) systems in the digital health context, we consider the following questions: How does the European Union (EU) seek to facilitate the development and uptake of trustworthy AI systems through the AI Act? What does trustworthiness and trust mean in the AI ...
Published in Cognition
Prior expectations influence pain experience. These expectations, in turn, rely on prior pain experience, but they may also be socially influenced. Yet, most research has focused on self rather than social expectations about pain, and hardly any studies examined their combined effects on pain. Here, we adopted a Bayesian learning perspective to inv...
