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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197 current initiative(s)
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223
Automated assessment of satellite imageryAI routines are being developed and tested to assess large volume of satellite imagery and data to: i) Automatically Identify marine hazards and ii) Change detection – i.e. shorelines or riverbank changes.
Pilot Ecosystems and Oceans Science Perception and Understanding Computer Vision
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208
Fishing DetectionThe goal is to use vessel movement behaviour in the form of AIS data to predict whether a vessel is currently engaged in fishing activity. AIS data is available to the department in near real-time from AIS transponders equipped on vessels. An automated system that can indicate to fishery officers when and where vessels are likely engaged in fishing activities will support better monitoring of compliance with regulations such as conformance with conditions in fishing licenses and in marine protected areas. Due to limited capacity and lengthy processes to manually review and distill data sources, fishery officers cannot fully monitor all vessels under present circumstances. This AI-supported system would help to increase monitoring coverage for fishery officers. Spatial processing: The vast amounts of geographically-referenced AIS transmissions from vessels must be refined to spatiotemporal areas of interest prior to feature engineering for input to the machine learning model. Appropriate spatial processing can support achieving this in a timely manner, particularly when near real-time processing is of interest. However, given the availability of the AIS pipeline, this processing is more appropriate to be performed by the pipeline than within the analytics environment for this use case. The fishing detection system would use the AIS pipeline API and would received data which has already been refine to the relevant spatial extents.
Pilot Strategic Policy Automation and Decision Support Predictive Analytics
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93
Détection de homards et de crabes communs dans les images sous-marines par intelligence artificielle.Développer un processus de capture et d’analyse d’images sous-marine par Intelligence Artificielle pour la détection de homards et de crabes communs.
Pilot Ecosystems and Oceans Science Perception and Understanding Computer Vision
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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 Computer Vision
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256
AI-Enabled UX Design and Content WorkflowsAI-enabled capabilities to help UX and content designers deliver digital work faster and more consistently. This includes supporting early ideas, rapid iteration, drafting and revising content, creating and comparing design options (task flows, wireframes, mockups, interactions, prototypes), and producing documentation needed for handoffs and approvals while still meeting GC standards. We also want employees to build modern, transferable skills.
Development Chief Digital Officer
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179
Change Management center of excellence- AI AssistantChange Management Centre of Excellence – AI Assistant: Using a Copilot agent as our dedicated assistant to support the sector by providing answers to questions on change management strategies, services, tools and templates.
Ideation Strategic Policy Cognitive and Generative AI Conversational AI and Virtual Assistants
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252
DFO AI HubThe 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.
Development Strategic Policy Interaction and Engagement AI Governance and Ethics
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248
Analyse des tracés AIS en merAnalyse des tracés AIS en utilisant l'IA: un IA a été créé pour analyser les tracés de bateau et déterminer si des activités de pêche ont lieu. Un pipeline pour les données AIS est en cours de création pour acheminer les données à l'AI. Les coordonnées des ZPM et zones de coraux éponges ont été fournies et si des activités dans ces zones sont détectées, l'info sera fournie à l'équipe de surveillance aérienne et maritime pour suivi
Pilot Conservation and Protection Automation and Decision Support Predictive Analytics
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211
Analyse des sentimentsC’est un modèle pour traiter automatiquement des textes et documents audios pour classifier les sentiments qui en ressortent sur le sujet. Un premier test sera fait sur le sujet des nouveaux permis de pêche exploratoire du homard.
Pilot Strategic Policy Automation and Decision Support Language Understanding (NLP)
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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 Generative AI (text, images, code)
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254
Catch and Effort Data Quality ImprovementsThe creation of a tool or system to use administrative data records to produce a clean and complete database of trip level catch and effort data.
Ideation Strategic Policy
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250
DFO Data Centre Chatbot• 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
Development Strategic Policy Interaction and Engagement Conversational AI and Virtual Assistants
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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 Computer Vision
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106
Finwave: an online photo-identification database and AI matching toolThis project aims to improve a publicly accessible machine learning platform capable of identifying individual killer whales in real-time from submitted photographs. The ultimate goal is to improve the web-based interface and validate the algorithm used for photo identification against known individuals.
Pilot Ecosystems and Oceans Science Perception and Understanding Computer Vision
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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 MLOps and Model Management
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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 Robotic Process Automation with AI
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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 Computer Vision
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147
Optical Character Recognition Data transcription toolThis completed project built a proof of concept tool to facilitate data transcription and validation from hand-written field notes. tested on ~100 year old salmon observations and present-day salmon stream inspection logs to determine the cost/feasibility/effectiveness of implementing such a tool in Salmon monitoring contexts.
Pilot Ecosystems and Oceans Science Perception and Understanding Computer Vision
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145
Automatic detection of unidentified fish soundsThis completed project used Random Forests and Convolutional Neural Networks (CNN) algorithms trained on manually detected fish sounds to detect fish sounds collected on a passive acoustic monitoring project. The result is an easy-to-use, open-source software called FishSoundFinder, implemented with the CNN detector.
Pilot Ecosystems and Oceans Science Perception and Understanding Audio Event Detection
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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 Knowledge Management
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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 Prescriptive Analytics
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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 Robotic Process Automation with AI
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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 Conversational AI and Virtual Assistants
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133
LLM Document Extraction - Prompt Engineering to Retrieve Relevant InformationUsing LLM to extract key information from documents with multiple templates using prompt engineering approaches. These results are reviewed by SMEs to ensure accuracy and relevancy.
Pilot Ecosystems and Oceans Science Automation and Decision Support Robotic Process Automation with AI
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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 Computer Vision