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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63 initiative(s)

AI initiative registry
ID	AI Initiative	Current Status	Description	Sector	Region	AI Bucket	SME
248	Analyse des tracés AIS en mer	Pilot	Analyse 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 li...	Conservation and Protection	Quebec	Automation and Decision Support	Beauchamp, Sébastien
246	GeoAI	Idea	Overview: Potential GeoAI‑Impacted Programs and Processes GeoAI (the integration of geospatial data, AI, and machine learning) is being exp...	Chief Digital Officer	Not region specific	Automation and Decision Support	Merner, Erick
222	Automated assessment of Crowd Source Bathymetry	Pilot	The Community Hydrography team is working with the University of New Brunswick (UNB) on a tool-kit that will automate the assessment of larg...	Ecosystems and Oceans Science	Ontario and Prairie	Automation and Decision Support	Klein, David
221	Automated Paper Chart Solution	Pilot	CHS is working closely with software provider CARIS to test and implement automated solution to generate Paper Charts from digital data sour...	Ecosystems and Oceans Science	Ontario and Prairie	Automation and Decision Support	Klein, David
211	Analyse des sentiments	Pilot	C’est un modèle pour traiter automatiquement des textes et documents audios pour classifier les sentiments qui en ressortent sur le sujet....	Strategic Policy	Quebec	Automation and Decision Support	Brunelle, Charles
208	Fishing Detection	Pilot	The goal is to use vessel movement behaviour in the form of AIS data to predict whether a vessel is currently engaged in fishing activity. A...	Strategic Policy	National Capital Region	Automation and Decision Support	Croft, Lee
201	Maximize detections with AI of the aquatic autonomous environmental DNA (eDNA) sampler	Idea	This Canadian apparatus provides detections of aquatic species through a standardized and reproducible method. Algorithms of AI analyze data...	—	National Capital Region	Automation and Decision Support	Winegardner, Amanda
200	Guidance on Optimal Timing for Environmental DNA (GOTeDNA)	Pilot	Provide guidance on optimal eDNA sampling periods and standardized sampling procedures for assessing and monitoring coastal species using eD...	Ecosystems and Oceans Science	Gulf	Automation and Decision Support	Dupuis, Marc
199	Improved freshwater runoff modelling in Eastern Canada to drive ocean models	Pilot	Use Neural Networks to post-process streamflow simulations from the WRF-Hydro model, improving their agreement with observational data. Thes...	Ecosystems and Oceans Science	Gulf	Automation and Decision Support	Dupuis, Marc
194	Automated ELOG reporting	Pilot	Automatically generate daily insights and reports on use of ELOGs Solution being developed to generate real-time reporting of ELOG use and...	Indigenous Affairs, Aquaculture and Governance	Gulf	Automation and Decision Support	Dupuis, Marc
193	Autonomous Task Tracker	Pilot	Autonomously complete tasks for fishery officer with multi-agent AI. Solution being developed in region to assist C&P autonomous completion...	Indigenous Affairs, Aquaculture and Governance	Gulf	Automation and Decision Support	Dupuis, Marc
186	Paper Buyer Slips	Pilot	Automatically process 180K paper slips annually Solution being developed in region to assist Statistics team in batch-scanning and processin...	Indigenous Affairs, Aquaculture and Governance	Gulf	Automation and Decision Support	Dupuis, Marc
184	Email searches in response to requests	Idea	Leverage M365 Copilot functionalities to leverage AI to perform email searches in response to certain requests, including those related to A...	Programs Sector	National Capital Region	Automation and Decision Support	Fernandes, Ashley
178	Records of decision for governance committees supporting the CDO	Idea	Records of Decision for Governance Committees Supporting the Chief Digital Office: Leveraging the transcript function in Microsoft Teams to...	Strategic Policy	National Capital Region	Automation and Decision Support	Kiefl, Richard
177	Resume Bank Analysis	Idea	Resume bank analysis: summarizing candidates resumes in our digital skills bank to provide consistent summaries (remove biases) and potentia...	Strategic Policy	National Capital Region	Automation and Decision Support	Kiefl, Richard
176	Analysis of roles	Idea	Analysis of roles: Ad hoc analysis of roles within C&P, comparing 4 different roles and their responsibilities.	Strategic Policy	National Capital Region	Automation and Decision Support	Kiefl, Richard
175	AI model for duplcate or dubious licence accounts	Idea	Licencing systems hold 10 times the amount accounts compared to licences issued. Many duplicate and dubious accounts across the millions of...	Programs Sector	National Capital Region	Automation and Decision Support	Bédard, Mathieu
173	AI model for the traceability of harvested fish	Idea	An AI model that analysis incoming data requirements ( log books, fish slips, Other traceability documents required by existing and potentia...	Programs Sector	National Capital Region	Automation and Decision Support	Bédard, Mathieu
172	AI model for Condtions of Licences review	Idea	Pac has 130 COls. These have been individually edited over the past decades. An AI model to search and identify difference in wording for si...	Programs Sector	National Capital Region	Automation and Decision Support	Bédard, Mathieu
164	Development of an abundance index for an under surveyed capelin stock	Idea	Recherche qui vise à utiliser des méthodes d’apprentissage automatique (machine learning) dans le but de classifier les signaux acoustiques...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
158	Study on the use of Artificial Neural Networks to Predict the Return Timing and Northern Diversion Rate for Migrating Fraser River Sockeye Salmon	Pilot	The Machine Learning feasibility study compliments the statistical approach by asking whether Artificial Intelligence (AI) methods can be de...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
152	Data Validation Tool	Pilot	Use large language models to help detect errors in data transcribed using optical character recognition. Apply validation rules to propose...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
150	Species distribution modeling	Pilot	Species distribution models for various coral/sponge/groundfish.	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
148	Nearshore biotopes model	Pilot	Model to define and map nearshore biotope was developed and presented at CSAS Mar 3-4, 2025 - the paper was accepted with revisions but not...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
146	Comprehensive marine substrate classification applied to Canada’s Pacific shelf	Pilot	This completed project built five regional and one coastwide substrate model for the BC coast using substrate observations and seafloor bath...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda

248
Analyse des tracés AIS en mer
Analyse 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
246
GeoAI
Overview: Potential GeoAI‑Impacted Programs and Processes GeoAI (the integration of geospatial data, AI, and machine learning) is being explored to enhance decision‑making, efficiency, and service delivery by automating spatial analysis, identifying patterns at scale, and enabling predictive insights. 1. Program and Service Delivery GeoAI can support more targeted, timely, and evidence‑based services by: Identifying spatial patterns in environmental, socio‑economic, or ecological data Prioritizing areas for intervention, monitoring, or investment Improving accessibility and equity of services through location‑based insights Examples Risk‑based prioritization of inspections, monitoring sites, or enforcement activities Predictive habitat or species distribution mapping to support conservation or fisheries management Enhanced situational awareness for emergency response or environmental incidents 2. Operational Efficiency GeoAI enables automation and scalability in routine or data‑intensive operations, reducing manual effort and turnaround times. Examples Automated feature extraction from satellite imagery, aerial photos, or LiDAR (e.g., shoreline change, infrastructure, habitat types) Near‑real‑time monitoring of environmental conditions or operational assets Change detection to flag anomalies or emerging risks Operational Benefits Reduced reliance on manual digitization and visual interpretation Faster updates to spatial products and dashboards More consistent and repeatable analytical outputs 3. Business Processes and Decision Support GeoAI can modernize internal business processes by embedding spatial intelligence into planning, reporting, and governance workflows. Examples Predictive analytics to support long‑term planning and scenario analysis Decision‑support tools that integrate geospatial, operational, and administrative data AI‑assisted data quality assessment and metadata generation Process Impacts Improved transparency and defensibility of decisions Better integration of spatial data across programs and systems Enhanced performance measurement and outcome tracking 4. Cross‑Cutting Opportunities Across all domains, GeoAI supports: Data integration: Linking spatial, temporal, and non‑spatial datasets Scalability: Applying consistent analysis across large geographic areas Innovation: Enabling new analytical questions that were previously impractical

Idea Chief Digital Officer Automation and Decision Support
222
Automated assessment of Crowd Source Bathymetry
The Community Hydrography team is working with the University of New Brunswick (UNB) on a tool-kit that will automate the assessment of large volumes of crowd source data. AI routines will allow for automated QC, and drafting of Navigation Warnings.

Pilot Ecosystems and Oceans Science Automation and Decision Support
221
Automated Paper Chart Solution
CHS is working closely with software provider CARIS to test and implement automated solution to generate Paper Charts from digital data sources. AI routines will improve speed and accuracy of solutions (machine learning) as software is refined to ensure product specifications are respected (as they are used for official navigation).

Pilot Ecosystems and Oceans Science Automation and Decision Support
211
Analyse des sentiments
C’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
208
Fishing Detection
The 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
201
Maximize detections with AI of the aquatic autonomous environmental DNA (eDNA) sampler
This Canadian apparatus provides detections of aquatic species through a standardized and reproducible method. Algorithms of AI analyze data from buoy-mounted sensors to determine optimal sampling windows, such as the presence of toxic phytoplankton bloom, and to perform quality assurance on sampling metadata.

Idea Automation and Decision Support
200
Guidance on Optimal Timing for Environmental DNA (GOTeDNA)
Provide guidance on optimal eDNA sampling periods and standardized sampling procedures for assessing and monitoring coastal species using eDNA. GOTeDNA, a centralized interactive online tool currently in development, will report/visualize trends in spatio-temporal eDNA distributions.

Pilot Ecosystems and Oceans Science Automation and Decision Support
199
Improved freshwater runoff modelling in Eastern Canada to drive ocean models
Use 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
194
Automated ELOG reporting
Automatically generate daily insights and reports on use of ELOGs Solution being developed to generate real-time reporting of ELOG use and implementation.

Pilot Indigenous Affairs, Aquaculture and Governance Automation and Decision Support
193
Autonomous Task Tracker
Autonomously 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
186
Paper Buyer Slips
Automatically 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
184
Email searches in response to requests
Leverage M365 Copilot functionalities to leverage AI to perform email searches in response to certain requests, including those related to ATI/P

Idea Programs Sector Automation and Decision Support
178
Records of decision for governance committees supporting the CDO
Records 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.

Idea Strategic Policy Automation and Decision Support
177
Resume Bank Analysis
Resume 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

Idea Strategic Policy Automation and Decision Support
176
Analysis of roles
Analysis of roles: Ad hoc analysis of roles within C&P, comparing 4 different roles and their responsibilities.

Idea Strategic Policy Automation and Decision Support
175
AI model for duplcate or dubious licence accounts
Licencing 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.

Idea Programs Sector Automation and Decision Support
173
AI model for the traceability of harvested fish
An AI model that analysis incoming data requirements ( log books, fish slips, Other traceability documents required by existing and potentially new regulations connected to public reporting apps )

Idea Programs Sector Automation and Decision Support
172
AI model for Condtions of Licences review
Pac 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

Idea Programs Sector Automation and Decision Support
164
Development of an abundance index for an under surveyed capelin stock
Recherche qui vise à utiliser des méthodes d’apprentissage automatique (machine learning) dans le but de classifier les signaux acoustiques du capelan dans le Golfe du St-Laurent.

Idea Ecosystems and Oceans Science Automation and Decision Support
158
Study on the use of Artificial Neural Networks to Predict the Return Timing and Northern Diversion Rate for Migrating Fraser River Sockeye Salmon
The 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
152
Data Validation Tool
Use 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
150
Species distribution modeling
Species distribution models for various coral/sponge/groundfish.

Pilot Ecosystems and Oceans Science Automation and Decision Support
148
Nearshore biotopes model
Model to define and map nearshore biotope was developed and presented at CSAS Mar 3-4, 2025 - the paper was accepted with revisions but not to the methods. The model use sdmTMB to predict species and then use k-means clustering method to find species assemblages. Large datasets can be used.

Pilot Ecosystems and Oceans Science Automation and Decision Support
146
Comprehensive marine substrate classification applied to Canada’s Pacific shelf
This completed project built five regional and one coastwide substrate model for the BC coast using substrate observations and seafloor bathymetry derivatives and oceanographic predictors using Random Forests.

Pilot Ecosystems and Oceans Science Automation and Decision Support