Registre des initiatives en IA
Toutes les initiatives inscrites au registre sont consultables ici, sans compte. Chaque fiche montre son avancement, ses jalons et l'historique de ses décisions. Les demandes encore en cours de triage n'y figurent pas : elles rejoignent le registre une fois examinées.
Interaction et engagement
De l'IA qui améliore l'interaction entre l'humain et la machine et soutient la prestation de services.
Qu'est-ce que « Interaction et engagement » ?
Cette catégorie couvre les systèmes d'IA conçus pour dialoguer avec des personnes, soutenir la communication et améliorer la prestation de services. Ces outils s'intègrent le plus souvent à des interfaces et à des processus qui supposent une interaction humaine — avec la population, le personnel ou des machines.
| Sous-catégorie | Description | Exemples |
|---|---|---|
| IA conversationnelle (interaction fondée sur le TALN) — assistants virtuels et agents conversationnels | Accompagner les utilisateurs par la conversation | Foire aux questions d'un service public, soutien informatique interne |
| Moteurs de personnalisation | Adapter l'expérience aux données de l'utilisateur | Recommandations de formation sur mesure |
| Traduction et accessibilité | Servir des publics variés | Traduction bilingue en temps réel, lecteurs d'écran |
- Indicateur déterminant
- Si l'IA est faite pour parler à des personnes, les assister ou adapter un service à leur intention, et que l'interaction elle-même est au cœur du cas d'usage, c'est ici.
- Portée
- Dialogue, personnalisation, accessibilité, conception centrée sur l'utilisateur.
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20 initiative(s) courante(s)
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231
Smart AssystAssyst is point of entry to all CDOS service requests and it covers many of the ITIL and ITSM practices which is the foundation of any IT organisation - and it has the potential to support most if not all of the ITIL and ITSM practices. The most recent versions of Assyst now have deeply integrated AI functionalities that are embedded in all parts and stages of the IT support process. It includes: A natively integrated Chat Bot for technicians and clients, AI ticket assignment, integration to MS Teams, recommended solutions, automated FAQ generation, natural language system search, risk prediction, conversational coding for Assyst developers, smart ticket assignment and escalation, summarization of knowledge articles, and more Activating and configuring those AI functionalities would require an investment in the Assyst system in order to make it AI ready. There is currently a lot of waste in the various CDOS ITIL practices due to a lack of investment in our ITSM tools. Modernizing Assyst to make it AI ready and turning on many of the newer AI features would joinlty contribute to reduce much of the waste incurred during the delivery of our CDOS services to the organization. It would also be a strong showcase both for CDOS and our clients of the power of AI integrated to a complete service process instead of the common and simple use case of AI conversational agents that may only produce limited and siloed value.
Idéation Dirigeant principal du numérique Interaction et engagement
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43
PSPC ConciergeIn partnership with CDOS and Pay Programs, we are agreeing to test the PSPC chatbot with 50 users, slated to start in June. This test will determine if a chatbot is a viable solution to answer generic pay quests.
Idéation Ressources humaines et services de gestion Interaction et engagement
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25
Help DFO employees navigate CDOS structure and servicesCDOS is a large and complex organisation. Leverage AI to help DFO user access services, understand organization structure, identify SME. Expose know procedures and documentation through natural language. Using enterprise search, agents and other tools and technologies. Integrate existing tools such as Viva topics that already uses AI to identify expert based on multiple communication channels Right now multiple initiatives goes in this direction, but no unified vision, (pocket of knowledge) Currently not a great user experience, cdos internal staff oriented
Idéation Dirigeant principal du numérique Interaction et engagement
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19
RWS Language Weaver AI-Powered Translation EngineThe concept behind this idea is to significantly decrease the costs of translations while significantly improving the turnaround time of translations. A proven Large Language Model engine, used already by the Translation Bureau, would be used to use internal Machine Learning capabilities to learn the lexicon of DFO. The initiative could be considered for on-prem or in-cloud solutions. The data and information would be geo-fenced to within Canada. The option to procure the solution (in either format) is available on a Government of Canada standing offer through an S
Idéation Interaction et engagement
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14
MaPaye HRMS Agent ConversationnelHRMS Agent Conversationnel (Mark Jarvis)
Idéation Ressources humaines et services de gestion Interaction et engagement
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9
SAP AI ChatbotSAP AI Chatbot to reduce support requests that need FMA resources
Idéation Interaction et engagement
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16
P&C General ChatbotP&C General Chatbot (Mark Jarvis) to guide employees to P&C services instead of using the intranet
Idéation Dirigeant principal du numérique Interaction et engagement
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7
Virtual ITSD agent for clientsThe next phase for ITSD involves deploying a client-facing chatbot. This virtual assistant will allow DFO employees to interact directly with a virtual technician who can guide them to the appropriate IT services on the portal, provide links to FAQs, and offer 24/7 support for simple issues. This will enable our technical staff to focus on more complex tasks that require their expertise.
Idéation Dirigeant principal du numérique Interaction et engagement
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250
Agent Conversationnel du centre de données du MPO• Faster access to Data Centre information and processes • Reduced dependency on SMEs and email-based support • Improved staff onboarding and operational efficiency • Supports GoC digital-first and AI-enablement direction
Développement Politiques stratégiques Interaction et engagement
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252
Centre d'IA du MPOThe DFO AI Hub is a centralized digital platform that demonstrates the application of artificial intelligence technologies to fisheries and oceans research, management, and operations. The platform serves as an educational tool that demonstrates how AI can help addresses business needs for faster, more accurate data analysis, improved decision support, and increased operational efficiency across research, monitoring, and management functions. It enables exploratory use of machine learning, computer vision, and natural language processing to process diverse data sources (e.g., imagery, sensor data, scientific reports), automate routine analytical tasks, and generate actionable insights for policy, compliance, and conservation programs.
Développement Politiques stratégiques Interaction et engagement
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247
NECTR – Solution Power Apps – Intégration d’IA CopilotWe would like to integrate copilot into power apps to be able to help users find and identify data in the database. This will save time for users looking to identify and extract data from the system. We currently have almost 500 users, so enabling AI for this would save a lot of time for these employees.
Développement Politiques stratégiques Interaction et engagement
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134
LLM Document ChatbotLarge language model that can help users ask questions to document sets and get answers, summarize key information, and find data with citations and sourcing.
Développement Sciences des écosystèmes et des océans Interaction et engagement
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53
LLM Document ChatbotLarge language model that can help users ask questions to document sets and get answers, summarize key information, and find data with citations and sourcing., including, from documents with multiple templates using prompt engineering approaches Azure OpenAI GPT4o/4o mini
Développement Secteur des programmes Interaction et engagement
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55
Natural Language Process (NLP) Chatbot using retrival-augmented-generation (RAG) on DFO PAC SiteA chatbot that allows users to search DFO PAC website using natural language and return reponses not only on data it was trained on but also incorporating a retrieval of new information found on DFO website as it is updated Azure OpenAI GPT4o/4o mini Text-Embedding-3-Large Open Web UI Crawl4AI (AI-based webscraper)
Développement Secteur des programmes Interaction et engagement
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20
IM ChatbotChatbot to answer Information Management related questions, based on information available on the IM intranet site. This is a work in progress.
Développement Dirigeant principal du numérique Interaction et engagement
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12
P&C AI Chatbot for PayAI Chatbot for Pay to assist with pay questions and errors in LoO (PSPC led) DFO Pilot with PSPC Concierge Chatbot for HR & pay information Provides personalized HR and pay guidance when visiting MyGCPay Concierge provides answers and sources for general questions
Développement Interaction et engagement
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6
ITSD internal chatbotITSD is currently implementing a simple chatbot leveraging Copilot, to streamline access to its knowledge base for our agents. This initiative aims to further improve the speed and quality of service provided by our technicians by enabling them to quickly locate the information they need to provide support and service to clients.
Développement Dirigeant principal du numérique Interaction et engagement
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107
AI tools for translationsAI translation tools for all non project-specific communications (e.g., emails, meeting notes, internal taskings). Additional AI tools are needed to translate larger projects, as relying on the Translation Bureau is costly and introduces delays in deliverables.
Pilote Sciences des écosystèmes et des océans Interaction et engagement
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51
EN/FR Translation ModelA large language model that is trained on the Translations Bureau’s and DFO's language-characteristics (i.e. grammar, annotation, syntax, words, scientific term) context. The model’s enables translation to be like those by the Translation Bureau. Training on large database of scientific documents (published by Canadian Science Advisory Secretariat) to understand scientific terminology is currently in progress. MADLAD 400 10B (Initially trained on sample of ~100 translated documents, in progress of additional training with published CSAS documents going back to year 2000)
Pilote Secteur des programmes Interaction et engagement
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11
Procurement ChatbotThe purpose of the Procurement Chatbot is to provide timely, accurate, and consistent information to users regarding procurement practices and procedures. This initiative aims to improve client experience, streamline communication, and reduce the manual workload currently required by Procurement staff responding to frequent and repetitive queries.
Production Interaction et engagement