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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198 current initiative(s)
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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
Ideation Interaction and Engagement
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177
Resume Bank AnalysisResume bank analysis: summarizing candidates resumes in our digital skills bank to provide consistent summaries (remove biases) and potentially providing side by side comparisons of candidate resumes or searching for skills
Ideation Strategic Policy Automation and Decision Support
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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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224
Remote Observation of Watercraft on RoadsThe Aquatic Invasive Species Program is proposing to launch a pilot initiative aimed at addressing a critical knowledge gap in our understanding the spread of aquatic invasive species. Invasive species can attach to boats, trailers, and related equipment—a process commonly referred to as the "stowaway pathway"—which enables their unintentional spread across ecosystems when watercraft are transported between water bodies. The AIS Program is seeking to understand watercraft movement into Canada via international land border crossings. Currently, the extent of this "stowaway" pathway remains largely unquantified. To address this, the pilot will deploy remote camera systems at select border entry points to capture imagery of incoming vehicles. Leveraging machine learning, the system will automatically identify and flag images containing watercraft. This data-driven approach will provide actionable insights to inform strategic decisions on the timing and placement of watercraft inspection and decontamination resources. This initiative may represent a significant step toward enhancing our ability to proactively manage aquatic invasive species risks at key entry points.
Pilot Perception and Understanding
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17
Recruitment and staffing toolsRecruitment and staffing tools (Mark Jarvis) (existing agents created by Microsoft to be explored further)
Ideation Chief Digital Officer Automation and Decision Support
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178
Records of decision for governance committees supporting the CDORecords of Decision for Governance Committees Supporting the Chief Digital Office: Leveraging the transcript function in Microsoft Teams to formalize records of decision and streamline follow-up on action items.
Ideation Strategic Policy 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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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
Pilot Strategic Policy Automation and Decision Support
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115
PublicLens: Science in Plain LanguageLeverages AI to transform highly technical scientific and documents into accessible, plain-language summaries for the Canadian public. Fosters transparency and builds public trust by making scientific and government information easily understandable. Promotes civic engagement by breaking down barriers between experts and everyday Canadians.
Pilot Ecosystems and Oceans Science Cognitive and Generative AI
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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.
Ideation Human Resources and Corporate Services Interaction and 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 and Engagement
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117
PolyDocs: Format and Translate for CSASA modular, bilingually-optimized (EN/FR) application that automates the formatting, quality assurance, and standardization of complex Word documents to meet Government of Canada publishing requirements. The tool orchestrates a highly configurable, low-code assembly line that handles deep document cleanup (resolving fragmented text, localizing punctuation/number conventions, and rebuilding tables of contents), applies localized terminology glossaries, and reduces file sizes for accessibility.
Production Ecosystems and Oceans Science Automation and Decision Support
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13
PoC in Power Apps, Power Automate, and SharePointPoC in Power Apps, Power Automate, and SharePoint (Mark Jarvis) to have an efficient helpdesk; AI to review questions and predict templates and carry out actions (e.g., reset accounts, forward others to MyPay etc.)
Ideation 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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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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58
Phytoplankton image classification modelCreate a neural network model to classify phytoplankton images collected by in-situ phytoplankton imaging sensors. There are two discrete steps to this project: 1) create a library of annotated images for model training; 2) creation and refinement of the CNN model. Convolutional Neural Network, InceptionV3 and ResNet
Pilot Ecosystems and Oceans Science Perception and Understanding
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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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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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74
Pacific Plankton Monitoring: Imagery and automated classification• Monitoring of zooplankton and phytoplankton in the water column with shipboard and benchtop plankton imaging instruments (UVP, ZooScan, PlanktoScope). • 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. Development of and regular optimization of automated image classification models using AI: deep learning (residual networks) and machine learning (random forests) methods.
Pilot Ecosystems and Oceans Science Perception and Understanding
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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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16
P&C General ChatbotP&C General Chatbot (Mark Jarvis) to guide employees to P&C services instead of using the intranet
Ideation Chief Digital Officer Interaction and 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
Development Interaction and Engagement
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95
Optimization of Machine Learning modelling strategy for coastal zooplankton taxonomic identification from flow microscopy imaging.As part of Aquaculture Monitoring Program we are using Ecotaxa's ML algorithm to identify zooplankton. The project aims at identifying the best strategy in building model training sets for each region monitored. This strategy will be the basis for future AMP zooplankton identification work.
Pilot Ecosystems and Oceans Science Perception and Understanding
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66
Optical Character Recognition Data transcription tool (See B6, B26)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 determin ethe cost/feasibility/effectiveness of implementing such a tool in Salmon monitoring contexts. (Digitizing non-machine-readable (handwritten) documents and extracts characters into a digital format) Computer vision (azure document intelligence),
Pilot Ecosystems and Oceans Science Perception and Understanding