AI initiative registry
Every initiative listed in the registry can be consulted here, without an account. Each record shows its progress, its milestones and the history of its decisions. Requests still under triage do not appear: they join the registry once reviewed.
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146 current initiative(s)
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193
Autonomous Task TrackerAutonomously complete tasks for fishery officer with multi-agent AI. Solution being developed in region to assist C&P autonomous completion of administrative tasks.
Pilot Indigenous Affairs, Aquaculture and Governance Automation and Decision Support
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190
Lobster Stock AssessmentAutomatically assess lobster count and habitat from hours of video efficiently Solution being developed for Science to review hundreds of hours of video for lobster count and state of habitat.
Pilot Indigenous Affairs, Aquaculture and Governance Perception and Understanding
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188
Coastal SurveillanceAutomatically process thousands of drone images as part of continuous surveillance Solution being developed in region to assist C&P in batch processing of drone surveillance images.
Pilot Indigenous Affairs, Aquaculture and Governance Perception and Understanding
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187
Atlantic Bluefin Tuna MonitoringAutomatically perform video analytics from hundred of harvester tuna video Solution being developed in region to assist C&P in batch processing of at-sea video monitoring footage.
Pilot Indigenous Affairs, Aquaculture and Governance Perception and Understanding
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186
Paper Buyer SlipsAutomatically process 180K paper slips annually Solution being developed in region to assist Statistics team in batch-scanning and processing paper slips.
Pilot Indigenous Affairs, Aquaculture and Governance Automation and Decision Support
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185
Radia AIExploring the capbilities of ISED/CRC's AI Innovation Hub's Radia AI and how it can be leveraged in our directorate's work.
Pilot Programs Sector Cognitive and Generative AI
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183
General - Office ManagementDraft and Refine Documents: Staff make use of Copilot to generate or refine briefing notes to make these clear and concise. Enhance Collaboration and Workflow Efficiency: By offering suggestions for document formatting, language style, and clarifying content, Copilot helps maintain consistency and accuracy across communications and facilitates more effective interdepartmental collaboration. Meeting notes: After a meeting is recorded, Copilot can transcribe audio to produce a relatively accurate record of the discussion, using natural language processing to identify key points, decisions, and follow-up tasks, and organizing these into relatively concise summaries and action item lists. Conduct Research and Summarize Information: It can quickly extract key points from extensive reports, legislation, or guidelines—helping to synthesize complex information into actionable insights. Support Data Analysis and Reporting: Employees use Copilot to structure performance metrics, track progress against key indicators, and generate reports that inform decision-making. **These functionalities save time, improve comprehensiveness, and can help ensure that critical details are captured.**
Pilot Programs Sector Cognitive and Generative AI
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181
Pacific Aquacutlure Regulations (PAR) Gap AnalysisCopilot is being leveraged to develop engagement tools for a regulatory consultation that are intuitive, builds on best practices and existing requirements, and adopts a tone and approach that is adequate for the general public.
Pilot Programs Sector Cognitive and Generative AI
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180
Pacific Aquaculture Regulations (PAR) Gap AnalysisCopilot is being leveraged to analyze written submissions and meeting notes from the Transition Plan engagement process to identify key themes, concerns, and suggestions. It helps summarise large aounts of input that help detect gaps in the feedback - such as missing perspectives, underrepresented topics, or unclear areas - enabling AD to plan more targeted and inclusive future engagement and consultations on the PAR amendments. Copilot also helps to dig into input in a more manageable way.
Pilot Programs Sector Cognitive and Generative AI
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170
NFIS Elver Retrieval-Augmented Generation Pilot with CDOSCDOS RAG pilot accept NFIS submission of illegal elver sales proposal. AI model would receive content and asked to summarize or visualize information based on core concepts to draw inference. Pilot only active for 2 months. Governance: Large project of 40 pilots led by CDOS. Assign project lead; document user access. Regular check-ins with IT and management. Guardrails: Restrict to pilot users; apply GC data/privacy standards; conduct ethical reviews and audits. No interne
Pilot Programs Sector Cognitive and Generative AI
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169
Dark Vessel Detection PlatformUtilizes AI and machine learning to detect vessels in satellite imagery, predict movements, and flag potential IUU fishing globally.Automatically cross-references detected vessels with AIS and VMS data to identify unregistered or "dark" vessels. Supports international IUU fishing monitoring; new AI-driven features enable vessel identification from electro-optical imagery. Governance: Managed by DFO’s International Fisheries Enforcement team; technical oversight by MDA Space; coordinated with CSA and other OGDs. Guardrails: All data use complies with commercial licensing terms and GC privacy requirements; sharing restricted
Pilot Programs Sector Perception and Understanding
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168
Development of bespoke data-limited tools using AI coding.The majority of Canadian fish stocks are data limited thus preventing full analytical stock assessments. Data limited tools are therefore the only approach. We are engaged in quick Ai development of custom data limited assessment approaches for exploited fish stocks
Pilot Ecosystems and Oceans Science Cognitive and Generative AI
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166
Détection de baleines sur les images obtenues par les dronesCe projet vise à générer des bases de données d’images annotées et des modèles IA entrainés pour détecter les différentes espèces ou groupes d’espèces visés.
Pilot Ecosystems and Oceans Science Perception and Understanding
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163
Recherches sur l’Intelligence artificielle pour le traitement automatisé des données d’acoustiques sous-marineNous utilisons les technologies d’apprentissage profond (deep learning) et les détecteurs pour la détection et identification en temps réal des espèces de mammifères marins telles que la baleine noire de l’Atlantique.
Pilot Ecosystems and Oceans Science Perception and Understanding
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161
Remote sensing of the internal tide in the St. LawrenceUsing model outputs (STLE500/STLE200) to 1) help identify internal tide surface signature in SWOT (Surface Water and Ocean Topography) data and 2) train an AI to detect internal tide in SWOT data.
Pilot Ecosystems and Oceans Science Perception and Understanding
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160
Emulator for OPP port models and for relocatable ocean modelling systemUse machine learning to develop an emulator (or similar) for the OPP port models, which would be used to produce forecasts via inference. The inference is expected to be both faster and computationally cheaper than existing solutions. The training process would use existing model output from multi-year hindcasts.
Pilot Ecosystems and Oceans Science Cognitive and Generative AI
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159
Chumputer Vision - salmon scale age predictive AIDeep Machine growth pattern Learning of chum salmon scales for predictive age assignments by way of scale pattern interpretation.
Pilot Ecosystems and Oceans Science Perception and Understanding
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158
Study on the use of Artificial Neural Networks to Predict the Return Timing and Northern Diversion Rate for Migrating Fraser River Sockeye SalmonThe Machine Learning feasibility study compliments the statistical approach by asking whether Artificial Intelligence (AI) methods can be developed to predict salmon behaviour as functions of ocean conditions.
Pilot Ecosystems and Oceans Science Automation and Decision Support
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157
Pacific Plankton Monitoring: Imagery and automated classification1) Monitoring of zooplankton and phytoplankton in the water column with shipboard and benchtop plankton imaging instruments (UVP, ZooScan, PlanktoScope). 2) Application of automated classification of survey and preserved sample image data sets to complement and enhance spatial and temporal resolution of monitoring in Canada’s EEZ and offshore NE Pacific.
Pilot Ecosystems and Oceans Science Perception and Understanding
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156
Statistical Downscaling for the Ocean Working Group (SD-Ocean)The Canada-wide working group is open to researchers and practitioners in academia, government, and the non-profit sector. The WG will foster growth of a transdisciplinary research cluster at the forefront of the rapidly-developing field by sharing tools, developing a network of practitioners, and working through specific examples (hackathons).
Pilot Ecosystems and Oceans Science Infrastructure and Enablement
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155
A VPN-accessible data science environmentSet up a CDOS-managed Linux desktop to allow a safe and powerful data science environment where Scientists can sagely test data science tools on Protected B data prior to securing larger investment or engagement from CDOS, or without the need to deploy expensive cloud tools.
Pilot Ecosystems and Oceans Science Infrastructure and Enablement
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154
Extracting impacts data from regulatory documentsUse OCR pdf readers, topic detection and language models to detect specific data elements inside written text documents, for extraction and analysis in a cumulative impacts context.
Pilot Ecosystems and Oceans Science Perception and Understanding
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153
News topic detection toolUse large language models and topic clustering to read topics emerging in the news and detect which of those topics is relevant to DFO, as well as what knowledge DFO has available to address those topics.
Pilot Ecosystems and Oceans Science Cognitive and Generative AI
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152
Data Validation ToolUse large language models to help detect errors in data transcribed using optical character recognition. Apply validation rules to propose corrections and normalize data into a standardized format.
Pilot Ecosystems and Oceans Science Automation and Decision Support
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151
Zooplankton image analysisUse Random Forest and residual neural networks (ResNet) for automated classification of zooplankton images collected using: 1) scanning of preserved samples (ZooScan); and 2) in situ imagery (Underwater Vision Profiler, UVP). Imagery focused on surveys and samples collected along the West Coast of Vancouver Island and offshore from 2022-present.
Pilot Ecosystems and Oceans Science Perception and Understanding