Ethics, defined initially as moral and virtues principles, becomes more and more deontological and social rules, especially to evaluate development and use of AI systems. In this paper, we present investigations to show the importance of ethics in AI technologies emphasizing their important impact in society and research.

Nowadays, due to urbanization growth, the need for mobility arises around the world. Some cities indeed are seeking for innovative solutions in order to meet the increasing users demand in connectivity, among which mega cities that have introduce air mobility. This latter will increase the mobility externalities and complexify its management. In the past decade, mobility as a service paradigm has been proven as the best approach to address such issues. But the current solutions are provided by autonomous mobility providers. In order to provide policy-makers in cities with a decision support tool allowing them to manage traffic regulation, environmental pollution, safety of the passengers, and services and infrastructures renewal, there is a need to address interoperability issue between the existing mobility systems. This paper is a preliminary study of interoperability concerns in the context of multidimensional urban mobility, which includes land and air modes. To that end, we present and discuss the building blocks of the underlying system and show which kinds of the interoperability occur and provide directions to solve them, within the frame of mobility as a service (MaaS).

Planning problems in a crisis context are a highly uncertain environment where health facilities must cooperate in providing health services to their patients. We focus on the health crisis in France due to the COVID19 pandemic. In fact, the lack of appropriate scheduling tools, resources, and communication leads hospitals to be submerged by infected patients and forced to transfer them to other hospitals. In this work we aim to provide a global solution to such planning problems to improve the current French health system. We introduce a cooperative approach called OPPIC (Operational Planning Platform for Inter-healthcare Coordination). OPPIC is based on a decentralized system, where health facilities plan is dynamic, flexible, robust to uncertainty, and respond to goals and optimization criteria. This paper proposed a first planning model to OPPIC and provided a first way of negotiation between health facilities based on their plan’s local and global flexibility.

Journal of Contingencies and Crisis ManagementVolume 28, Issue 3 p. 174-177 EDITORIAL Knowledge, semantics and AI for risk and crisis management Antonio De Nicola, Corresponding Author Antonio De Nicola antonio.denicola@enea.it ENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Rome, Italy Correspondence Antonio De Nicola, ENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Italy. Email: antonio.denicola@enea.itSearch for more papers by this authorHedi Karray, Hedi Karray INP-ENIT, University of Toulouse, Tarbes, FranceSearch for more papers by this authorMayank Kejriwal, Mayank Kejriwal University of Southern California, Marina Del Rey, USASearch for more papers by this authorNada Matta, Nada Matta University of Technology of Troyes, Troyes, FranceSearch for more papers by this author Antonio De Nicola, Corresponding Author Antonio De Nicola antonio.denicola@enea.it ENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Rome, Italy Correspondence Antonio De Nicola, ENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Italy. Email: antonio.denicola@enea.itSearch for more papers by this authorHedi Karray, Hedi Karray INP-ENIT, University of Toulouse, Tarbes, FranceSearch for more papers by this authorMayank Kejriwal, Mayank Kejriwal University of Southern California, Marina Del Rey, USASearch for more papers by this authorNada Matta, Nada Matta University of Technology of Troyes, Troyes, FranceSearch for more papers by this author First published: 29 September 2020 https://doi.org/10.1111/1468-5973.12322Citations: 1Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Citing Literature Volume28, Issue3Special Issue: Knowledge, Semantics and AI for Risk and Crisis ManagementSeptember 2020Pages 174-177 RelatedInformation

Along with the rising concern of environmental performance, eco-labelling is becoming more popular. However, the complex process of eco-labelling demotivated manufacturers and service providers to be certificated. In this paper, we propose a decision support system aiming at further improvement and acceleration of the eco-labeling process in order to democratize a broader application and certification of eco-labels. This decision support system will be based upon a comprehensive knowledge base composed of various domain ontologies covering the whole life cycle of a product or service. Through continuous enrichment on the knowledge base in modular ontologies and by defing standard RDF and OWL format interfaces, the decision support system will stimulate domain knowledge sharing and have the interoperability to be applied into other practice.