{"id":5093,"date":"2026-04-24T08:51:44","date_gmt":"2026-04-24T13:51:44","guid":{"rendered":"https:\/\/promptinnov.com\/?p=5093"},"modified":"2026-04-24T08:57:27","modified_gmt":"2026-04-24T13:57:27","slug":"podcast-when-human-and-technology-meet-in-decision-making","status":"publish","type":"post","link":"https:\/\/promptinnov.com\/en\/news\/podcast-when-human-and-technology-meet-in-decision-making\/","title":{"rendered":"Podcast: when human and technology meet in decision-making"},"content":{"rendered":"\n

\ud83c\udfa4 Listen to the full podcast segment on Mon Carnet by Bruno Guglielminetti<\/a> (Only in French)<\/p>\n\n\n\n

\u00c9milie Delvoye, Director of Communications at Prompt, talks about human-technology decision-making in a project led by S\u00e9bastien Tremblay of Universit\u00e9 Laval<\/a> and Antoine Fagette of Thales<\/a>.<\/p>\n\n\n\n

Discover the podcast, in full text<\/strong><\/h2>\n\n\n\n

\u00c9milie: Today, we’re discussing human-machine collaboration with my guests: S\u00e9bastien Tremblay, Professor at Laval University’s School of Psychology and Director of the Co-DOT laboratory. He is also Honorary Professor at Cardiff University in the UK, and is particularly interested in issues of human cognition and ways of enhancing the performance and well-being of individuals in different situations, including decision-making. And Antoine Fagette, in charge of collaborative autonomy for Cortex, the artificial intelligence gas pedal of Thales, the world’s leading high-tech specialist, which has customers with mission-critical operations, notably in the defense and aerospace markets. Good morning, gentlemen. <\/strong><\/p>\n\n\n\n

S\u00e9bastien Tremblay and Antoine Fagette: Hello \u00c9milie.<\/p>\n\n\n\n

\u00c9milie: Today you’re going to present a research project aimed at increasing collaboration between humans and artificial intelligence for adaptive command and control. What exactly are we talking about? <\/strong><\/p>\n\n\n\n

S\u00e9bastien Tremblay: Indeed, our project focuses on collaboration between humans and intelligent agents in a specific maritime surveillance context. More concretely, imagine an operator in a naval command center or on board a frigate who has to assess the potential threat level of all the ships, drones and aircraft in his or her environment. So we’re talking about a human job that’s cognitively demanding, stressful, often under time pressure and always involving safety-critical decisions. It’s a situation where the human operator needs support. Then, in the past, we used to talk a lot about decision support systems, expert systems to support human decision-making. But now, we’re talking more about intelligent agents in collaborative mode. The question we’re asking ourselves is: how can the human and the intelligent agent best work together, learn, adapt to each other and form an effective team? <\/p>\n\n\n\n

\u00c9milie: How did you come to develop this innovation, this solution?<\/strong><\/p>\n\n\n\n

Antoine Fagette: At Thales, as you said, we work on mission-critical systems, and the use of AI and the integration of autonomy into these systems creates a paradigm shift in the relationship that the human operator will have with these systems. Specifically, the paradigm shift lies in the fact that the human operator no longer has just a tool in his hands, but potentially a teammate with whom he will have to learn to work. AI and autonomy mean that the system will be able to adapt to a changing operational context. An evolving operational context means that the situation in front of it changes. The adversary (defense system) also adapts to our solutions, so the system is potentially capable of learning how this context evolves. On the other hand, the operator himself will evolve. He will evolve in a short space of time, for example through cycles of fatigue. At the start of the day, the operator is in good shape, so he makes decisions in a certain way. At the end of the day, he’s tired. His decision-making pattern evolves, and so the system needs to be able to detect these changes to some extent. It’s also going to evolve over time, in other words, the operator sees new things in front of him. The operational context is changing, and so he makes new decisions in response. He adapts his decision-making “pattern” so as to make decisions that are still the right ones, but based on things that have changed. So the system has to be able to learn this. In fact, the human and this almost autonomous system have to learn to trust each other, to work together to solve or tackle the missions entrusted to them. <\/p>\n\n\n\n

\u00c9milie: So I understand very well that humans have to learn to trust machines. Can you explain a little, S\u00e9bastien, how the machine can learn to trust the human? <\/strong><\/p>\n\n\n\n

S\u00e9bastien Tremblay: In fact, you just mentioned it. There’s the aspect when we move from a tool-use paradigm to a teamwork paradigm, well, there’s the bidirectional aspect. There’s the communication, the exchanges between the human and the agent. It’s a situation where there’s a need for mutual trust, and then there’s also co-learning in terms of how to work well together, and as much as possible to understand each other’s decisions. If the human makes his decision, and the agent who has learned from the human’s decisions perhaps detects a deviation from the usual pattern due to fatigue or stress. In this case, there’s some dialogue with the human, because the agent will raise a flag because its assessment of the threat is different. We’re testing ways of announcing this, adding transparency and perhaps a little explicability, always with a view to having an optimal relationship between the two. <\/p>\n\n\n\n

\u00c9milie: What is the impact of this innovation?<\/strong><\/p>\n\n\n\n

Antoine Fagette: The impact that we have sought and achieved through this collaboration on our organization, and in general on all the research we carry out on these subjects, is twofold. First, you have to understand that Thales is a business entity. What we’re looking to do is very operational research, so working with researchers like S\u00e9bastien and the Co-DOT laboratory on these subjects is a way for us to be able to offer our customers the best possible solutions. It’s a way for us to accelerate the integration of these new technologies or new approaches into our solutions. Within Thales, we’re working on research roadmaps that are at a low level of maturity, but we’re going to want to bring them up to maturity very quickly so that we can integrate them into our products. Working with S\u00e9bastien, we don’t want to wait decades for a result. We’re going to look for initial results after six months, a year, two years, using an iterative cycle. Then the second impact we’ll be looking for is the dissemination of the knowledge we manage to create through these projects. So, dissemination through publications, participation in conferences or even patents that enable us to position ourselves as a reference player on these subjects, alongside a laboratory and a professor. As you said in your introduction, S\u00e9bastien is internationally renowned. He has a position in Quebec and the UK, so we can work faster and harder on these subjects with him. <\/p>\n\n\n\n

\u00c9milie: Excellent! On your side, S\u00e9bastien. <\/strong><\/p>\n\n\n\n

S\u00e9bastien Tremblay: In terms of impact, first of all, there’s the whole area of knowledge transfer. For us, the specific project with Thales and other partners is linked to maritime surveillance and defense. What we do transversally also applies to all areas where humans are in a position to supervise or collaborate with agents, be it mobility, aviation, healthcare decision-making, crisis management or emergency response. For us, it’s very important to develop this knowledge and then be in a position to transfer it to several sectors. I’d also say that this project, in terms of impact, is very much about good practice, so really contributing to good practice in terms of human-artificial intelligence work. In terms of professional development, it also has a super-important impact for our students in terms of a springboard towards industry, towards the job market. I’d like to finish by saying that it also has an impact in terms of positioning Universit\u00e9 Laval, Quebec and Canada in a field that is so topical. <\/p>\n\n\n\n

\u00c9milie: Thank you very much, gentlemen. If you’re looking for expertise to solve a problem with technology, I invite you to contact Prompt to help you de-risk your innovation project and get in touch with the right partners. <\/strong><\/p>\n\n\n\n

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Listen to the full segment here<\/a><\/div>\n<\/div>\n\n\n\n

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Develop tools to help healthcare professionals make better clinical decisions.<\/p>\n","protected":false},"author":4,"featured_media":2663,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[202],"tags":[],"class_list":["post-5093","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-podcast"],"acf":[],"_links":{"self":[{"href":"https:\/\/promptinnov.com\/en\/wp-json\/wp\/v2\/posts\/5093","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/promptinnov.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/promptinnov.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/promptinnov.com\/en\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/promptinnov.com\/en\/wp-json\/wp\/v2\/comments?post=5093"}],"version-history":[{"count":6,"href":"https:\/\/promptinnov.com\/en\/wp-json\/wp\/v2\/posts\/5093\/revisions"}],"predecessor-version":[{"id":5178,"href":"https:\/\/promptinnov.com\/en\/wp-json\/wp\/v2\/posts\/5093\/revisions\/5178"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/promptinnov.com\/en\/wp-json\/wp\/v2\/media\/2663"}],"wp:attachment":[{"href":"https:\/\/promptinnov.com\/en\/wp-json\/wp\/v2\/media?parent=5093"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/promptinnov.com\/en\/wp-json\/wp\/v2\/categories?post=5093"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/promptinnov.com\/en\/wp-json\/wp\/v2\/tags?post=5093"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}