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Le dommage au sein de nouveau livre 6 du Code civil:entre fausse révolution, révolution avortée et véritable (r)évolution
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Les nouveaux régimes de responsabilité des personnes chargées de la surveillance d'autrui:(art. 6.13 C. civ.)
No full textWhy should I trust you? Influence of explanation design on consumer behavior in AI-based services
No full textPurposeThis study explores how the format of explanations used in artificial intelligence (AI)-based services affects consumer behavior, specifically the effects of explanation detail (low vs high) and consumer control (automatic vs on demand) on trust and acceptance. The aim is to provide service providers with insights into how to optimize the format of explanations to enhance consumer evaluations of AI-based services.Design/methodology/approachDrawing on the literature on explainable AI (XAI) and information overload theory, a conceptual model is developed. To empirically test the conceptual model, two between-subjects experiments were conducted wherein the level of detail and level of control were manipulated, taking AI-based recommendations as a use case. The data were analyzed via partial least squares (PLS) regressions.FindingsThe results reveal significant positive correlations between level of detail and perceived understanding and between level of detail and perceived assurance. The level of control negatively moderates the relationship between the level of detail and perceived understanding. Further analyses revealed that the perceived competence and perceived integrity of AI systems positively and significantly influence the acceptance and purchase intentions of AI-based services.Practical implicationsThis research offers service providers key insights into how tailored explanations and maintaining a balance between detail and control build consumer trust and enhance AI-based service outcomes.Originality/valueThis article elucidates the nuanced interplay between the level of detail and control over explanations for non-expert consumers in high-credence service sectors. The findings offer insights into the design of more consumer-centric explanations to increase the acceptance of AI-based services
Une indispensable réflexion éthique en amont de l’utilisation de l’IA dans le domaine de la santé
Get PDFL’utilité des outils d’intelligence artificielle (IA) dans les domaines de la santé et de la médecine ne fait aucun doute. Il est néanmoins important de prendre en compte certaines difficultés : comment préserver la relation médecin-patient dans un environnement de plus en plus dirigé et contrôlé par des IA statisticiennes ? Comment préserver, au cœur de la relation de soins, les pratiques médicales qui se nourrissent des singularités et du non prédictible ? La médiation de la technique nedoit-elle pas être évaluée dans la pratique médicale et avec les patients, plutôt qu’imposée a priori comme s’il s’agissait de la seule possibilité d’action
Timed Obstruction Logic:A Timed Approach to Dynamic Game Reasoning
Get PDFReal-time cybersecurity and privacy applications require reliable verification methods and system design tools to ensure their correctness. Recently, a growing literature has recognized Timed Game Theory as a sound theoretical foundation for modeling strategic interactions between attackers and defenders. This paper proposes Timed Obstruction Logic (TOL), a formalism for verifying specific timed games with real-time objectives unfolding in dynamic models. These timed games involve players whose discrete and continuous actions can impact the underlying timed game model. We show that TOL can be used to describe important timed properties of real-time cybersecurity games. Finally, we provide a verification procedure for TOL and show that its complexity is PSPACE-complete, meaning that it is not higher than that of classical timed temporal logics like TCTL. Thus, we increase the expressiveness of properties without incurring any additional complexity