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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30 current initiative(s)
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175
AI model for duplcate or dubious licence accountsLicencing systems hold 10 times the amount accounts compared to licences issued. Many duplicate and dubious accounts across the millions of accounts. An AI model to discover duplicate/dubious accounts to highlight them for human review and action.
Ideation Programs Sector Automation and Decision Support
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172
AI model for Condtions of Licences reviewPac has 130 COls. These have been individually edited over the past decades. An AI model to search and identify difference in wording for similar Conditions
Ideation Programs Sector Automation and Decision Support
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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
Ideation On hold Programs Sector Automation and Decision Support
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56
Method Recommendation EngineA large language model reviews a scientist’s objective for collecting data in the field and based on the criteria, the model will provide the best procedure to use for their work
Ideation Programs Sector Automation and Decision Support
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71
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. Large Language Models
Ideation Ecosystems and Oceans Science Cognitive and Generative AI
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75
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. classical machine learning models, including linear regression, Ridge regression, and Random Forest
Ideation Ecosystems and Oceans Science Automation and Decision Support
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77
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. Success with a fixed location would graduate to developing a relocatable emulator TBD; could be U-Net or CNN, or based on GraphCast
Ideation Ecosystems and Oceans Science Cognitive and Generative AI
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79
Biological models to support prioritzing salmon stocks under future climatesThis project fits retrospective, life stage-specific models in a data-driven analytical framework to evaluate functional responses to climate variables across the salmon life cycle and make projections for how stocks will respond to climate change scenarios. This modelling approach is intended to be sufficiently flexible to incorporate variability in data quality. Large language models are being used to brainstorm modelling approaches and debug code. AI is not being tasked with developing these models. Large Language Models
Ideation Ecosystems and Oceans Science Cognitive and Generative AI
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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.
Ideation Chief Digital Officer Automation and Decision Support
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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.
Development Ecosystems and Oceans Science Interaction and Engagement
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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
Development Programs Sector Interaction and Engagement
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226
DFO AI - PipelineDFO Pipeline Analyzer is a private Azure DevOps extension designed to assist development teams in diagnosing and resolving pipeline failures using AI. When a pipeline run fails, this task automatically triggers, extracts the provided error details, and queries a secure AI API to generate a human-readable explanation of the failure along with actionable troubleshooting steps. It will assist developers to make appropriate steps in right direction as they are getting suggestion with-in pipeline logs. Suggestion also provide corrected version of pipeline Key features: Runs only on pipeline failure (condition: failed()) Fully agent-agnostic: Works on self-hosted and Azure-hosted agents, across Windows, Linux, and macOS Provides clear error analysis and resolution guidance directly in pipeline logs Keeps your data secure by using your own OpenAI or other AI API key Fully private and scoped to your Azure DevOps organization We have working prototype of DFO-AI pipeline Analyzer by communicating with OpenAI securely. In next steps we are also exploring to integrate with our self-hosted AI Models (open-source via Ollama), currently in discussion
Pilot Chief Digital Officer Infrastructure and Enablement
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137
Method Recommendation EngineA large language model reviews a scientist’s objective for collecting data in the field and based on the criteria, the model will provide the best procedure to use for their work
Pilot Ecosystems and Oceans Science Automation and Decision Support
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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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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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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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144
Factoid Finder ToolThis completed project used the Factoid Finder extracts text from machine-readable PDFs to create searchable content libraries. Small Language Models are used to implement semantic search techniques, allowing users to search the library for relevant passages within the PDFs.
Pilot Ecosystems and Oceans Science Cognitive and Generative AI
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135
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.
Pilot Ecosystems and Oceans Science Automation and Decision Support
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99
Improved freshwater runoff modelling in Eastern Canada to drive ocean modelsUse Neural Networks to post-process streamflow simulations from the WRF-Hydro model, improving their agreement with observational data. These neural networks are applied as a downstream calibration step. Builds synergy between traditional calibration methods and modern AI techniques in hydrologic modeling.
Pilot Ecosystems and Oceans Science Automation and Decision Support
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102
Past, Present and Future Oceanographic Conditions in Canada's MPAs and Marine OECMs (Other Effective area-based Conservation Measures)Downscaling climate models using neural networks for conservation areas. Neural networks allow us to represent coarse resolution climate projections at a much higher spatial resolution across six eastern MPAs.
Pilot Ecosystems and Oceans Science Cognitive and Generative AI
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110
Mercator Collaboration on Digital Twins of the OceanKnowledge exchanges with ECCC and Mercator Océan International on use of AI for ocean modelling, in the context of Digital Twins of the Ocean.
Pilot Ecosystems and Oceans Science Infrastructure and Enablement
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111
Digital Twins of the Ocean Task TeamNational exchanges on topics relating to ocean modelling for development of Digital Twins of the Ocean, including use of AI for modelling and products.
Pilot Ecosystems and Oceans Science Infrastructure and Enablement
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112
ECCC exchanges on use of AI for ocean modellingExchanges with ECCC on implementation of machine learning methods for operational ocean forecasting, including potential uses for DFO models.
Pilot Ecosystems and Oceans Science Infrastructure and Enablement
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113
Improving forecasting for high-priority portsResearch into feasibility of improving accuracy and timeliness of short-term forecasts for coastal regions by combining traditional and AI modelling methods.
Pilot Ecosystems and Oceans Science Automation and Decision Support
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132
Salmon Scale AgingA model using computer vision to look at images of salmon scale and predict the age of salmon and also explain how it arrived at its prediction.
Pilot Ecosystems and Oceans Science Perception and Understanding