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.
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197 initiative(s) courante(s)
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37
OCDS AI PortalThe Office of Chief Data Steward (OCDS) currently has in its possession multiple proof-of-concept AI models developed that demonstrates the potential of AI in fisheries and oceans management. Due to a lack of deployment processes, the models currently sits idle in our repository. This initiative aims to develop a portal where the models can be deployed in a proof-of-concept fashion to enhancement DFO's understanding of AI and drive the cultural change needed to promote the adoption of AI at DFO. The portal has been completed and is accessible at: https://ocds-ai-portal.canadacentral.cloudapp.azure.com/ The portal was shared in the DFO kiosk at the 2025 GC data conference for engagement. It has so far welcomed 360 users, received over 2K views an
Pilote Politiques stratégiques Infrastructure et habilitation MLOps et gestion des modèles
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9
SAP AI ChatbotSAP AI Chatbot to reduce support requests that need FMA resources
Idéation Interaction et engagement IA conversationnelle et assistants virtuels
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4
Database Scripting Automationi would like to be able to review the scripts the DBAs run to ensure that we can automate and reduce the administrative workload. if possible we would then be able to provide more opporutnities for the group to do more architecturing then Administrative updates. haven'T delved this through, but i think it would be high value.
Idéation Dirigeant principal du numérique Automatisation et aide à la décision Automatisation des processus assistée par IA
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26
Generative AI in intranet Internet content creationIntegrate Generative AI capacity right into Drupal CMS to help users create draft content, ease translation, generate images, tags and metadata. Technologie already exists, need to be security reviewed, integrated and configured. Challenge, web infrastructure team capacity
Idéation Dirigeant principal du numérique IA cognitive et générative IA générative (texte, images, code)
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27
Turn on AI Auto labeling on all M365 documents and communications channelsOur E5 M365 licences grant access to AI based tools in Purview to automatically categorized documents and set labels accordingly. Model training would require attention of an Security/IM expert to make perfect. We may want to create specific AI specific labels to avoid conflicts with officials ones.
Idéation Dirigeant principal du numérique Automatisation et aide à la décision Automatisation des processus assistée par IA
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28
AI-Enabled Electronic Monitoring (EM) SolutionsThe pilot project, in collabration with Fisheries Resources Management, explores the integration of AI-enabled electronic monitoring (EM) solutions to automate the detection and classification of fishing activities using video and sensor data from vessels. This initiative aims to enhance compliance monitoring, reduce manual review time, and support evidence-based fisheries management. Client: Fisheries Resources Management
Pilote Politiques stratégiques Perception et compréhension Fusion de capteurs
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29
AI-Enabled Detection of Watercraft for Aquatic Invasive Species Risk ManagementThis pilot project, in collabration with Aquatic Invasive Species Program, develops an AI-powered system to automatically detect and track watercraft at key entry points to prevent the spread of Aquatic Invasive Species (AIS). By enabling early identification of vessels that may carry invasive organisms, the system supports faster inspections and intervention to protect aquatic ecosystems. Initial exploration using sample data is underway, with the project pending ADM approval for installing cameras and data collection. Client: Aquatic Invasive Species Program
Pilote Politiques stratégiques Perception et compréhension Vision par ordinateur
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31
Quality control of oceanographic data - Maritimes RegionThe goal of the project is to assist in the processing and quality control of CTD (oceanographic) data by leveraging machine learning models to predict quality flags for the CTD data products generated by Maritimes region, enabling faster data processing by reducing manual burden. Initial explorations have been conducted to investigate transferability of existing quality control models from Pacific region. Based on investigation results, new models will be trained specific to Maritimes region. Client: Maritimes Region - Ocean Data
Pilote Politiques stratégiques Automatisation et aide à la décision Analytique prédictive
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32
CTD Anomaly DetectionThe goal of this project is to apply machine learning to detect anomalous oceanographic data, highlighting meaningful physical phenomena in the state of the ocean for closer investigation by scientists. A proof of conept model has been developed to demonstrate feasibility. Further validation is required with the client to verify alignment with the needs of scientists. Client: Pacific Region - Ocean Sciences Division
Pilote Politiques stratégiques Perception et compréhension Analytique prédictive
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33
Machine-learning-assisted Benthic Marine Life Annotation ToolThe goal of the project is to improve the efficiency of the image annotation process to reduce manual efforts of the benthic science team and reduce time-to-insight from underwater surveys. Further development is prevented by DFO's IT infrastructure. There are ongoing discussions with CDOS to resolved this but the project is on hold in the meantime. Client: Quebec Region/Pacific Region - Oceans and Ecosystem Sciences Division
Idéation En pause Politiques stratégiques Perception et compréhension Vision par ordinateur
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34
AI-assisted Marine Mammal Annotation ToolThe goal of the project is to improve the efficiency of the aerial image annotation process to reduce manual efforts of the marine mammal science team and reduce time-to-insight for marine mammal survey flights. This project is currently in progress. Business requirements have been finalized and development has commenced Client: Ecosystems and Oceans Science - Ecosystems Science Directorate
Pilote Politiques stratégiques Perception et compréhension Vision par ordinateur
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35
AI-assisted Solution to Detect Ghost Gear from Side Scan Sonar ImagesThe goal of the project is use AI to automate data analysis in detecting Ghost Gear. Client: Ghost Gear Program
Idéation En pause Politiques stratégiques Perception et compréhension Vision par ordinateur
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36
AI-assisted Solution to summarize C&P aerial surveillance videosA pilot project to explore the use of AI/ML for automating the identification of relevant segments in EM video and imagery, such as human activity or vessel registration numbers (VRNs). This initiative aims to reduce manual review time and enhance the efficiency of information management in support of fisheries oversight.
Pilote Politiques stratégiques Perception et compréhension Vision par ordinateur
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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 IA conversationnelle et assistants virtuels
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41
Cyber Security OperationCyber Security Operation Centre has deployed AI/ML in MS Defender (Endpoint Detection and Response (EDR) system), MS Sentinel (Security Incident and Event Management (SIEM) system), Data Lost Prevention (DLP), and Exchange Online Protection (EOP) for real-time threat detection.
Production Dirigeant principal du numérique Automatisation et aide à la décision Analytique prédictive
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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 IA conversationnelle et assistants virtuels
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45
MyGCHR – Phoenix analysis toolPro B data would be needed, but feed MyGCHR and Phoenix records, but flag those that are incorrect in the hopes of training the AI to recognize future incorrect entries and to help clean up pay files for employees. P&C is in negotiation currently with PSPC to ‘own’ our backlog of Phoenix cases, so this could be a big help.
Idéation Ressources humaines et services de gestion Automatisation et aide à la décision Analytique prédictive
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49
Salmon Fence CountingA model using computer vision to analyze water stream fence video-footage, to simultanously count the number of and predict the species of salmon. YOLO 11 Chinook trained on 735 annotated frames from 63 videos Coho trained on 432 annotated frames from 44 videos Sockeye trained on 1149 annotated frames from 36 videos Chum untrained (annotation of 1368 frames from 43 videos in progress) Pink Humpback
Pilote Secteur des programmes Perception et compréhension Vision par ordinateur
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50
Salmon Data Digitization (See B22, B26)Digitizing non-machine-readable (handwritten) documents and extracts characters into a digital format so that it is accessible, editable, and useable for analysis. Document Intelligence - Custom Classification and Extraction Model Azure OpenAI GPT4o mini Data and Information from ~45,000 pages have been digitized
Pilote Secteur des programmes Perception et compréhension IA multimodale
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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 Traduction et accessibilité
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52
"Chumputer Vision" (see B32) Salmon Scale AgingA model using computer vision to look at images of salmon scale and predict the age of salmon and also monitor its ring growth. CNN and YOLO 9. Currently trained on 1478 images.
Pilote Secteur des programmes Perception et compréhension Vision par ordinateur
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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 IA conversationnelle et assistants virtuels
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54
PII & Sensitivity ScoresDetermines the sensitivity of the content of a document based on a trained model and allows for the redaction of the sensitive material in the document. Presidio
Idéation En pause Secteur des programmes Automatisation et aide à la décision Automatisation des processus assistée par IA
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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 IA conversationnelle et assistants virtuels
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105
Combining artificial intelligence and drone imagery for automatic extraction of morphometric attributes of small cetaceans: Application to the St. Lawrence Estuary Beluga population.This project proposes to use a multiyear time series of drone images of the St. Lawrence Estuary Beluga population to develop a series of algorithms for automatic extraction of morphometric information of individual beluga whales using AI.
Pilote Sciences des écosystèmes et des océans Perception et compréhension Vision par ordinateur