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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28 current initiative(s)

AI initiative registry
ID	AI Initiative	Stage	Description	Sector	Region	AI Bucket	SME
191	Irish Moss Research	Ideation On hold On hold	Automatically and non-invasively detect and assess health of Irish Moss Solution being developed for Science to review hundreds of hours of...	Indigenous Affairs, Aquaculture and Governance	Gulf	Perception and Understanding	Dupuis, Marc
176	Analysis of roles	Ideation	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
162	Recherche et développement d’outils de vision automatisée pour l’étude des refuges marins des coraux et des éponges du golfe du Saint-Laurent. Not translated · original: French	Ideation	Projet de contribution avec le Centre de développement et de recherche en intelligence numérique (CDRIN). L’objectif est de concevoir et dév...	Ecosystems and Oceans Science	National Capital Region	Perception and Understanding	Winegardner, Amanda
164	Development of an abundance index for an under surveyed capelin stock	Ideation	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
35	AI-assisted Solution to Detect Ghost Gear from Side Scan Sonar Images	Ideation On hold On hold	The goal of the project is use AI to automate data analysis in detecting Ghost Gear. Client: Ghost Gear Program	Strategic Policy	National Capital Region	Perception and Understanding	Petrovic, Marina
18	Classification AI	Ideation	Classification AI (Mark Jarvis) to help with the creation of job descriptions/tasks and analyze job descriptions to help with SoMCs	Chief Digital Officer	National Capital Region	Cognitive and Generative AI	Gardner, Leigh
10	AI Agent for EGCS	Ideation	AI Agent for EGCS to evaluate Gs&Cs applications from external applicants (not until 2026-27)	Chief Digital Officer	National Capital Region	Automation and Decision Support	Gardner, Leigh
8	SAP AI Agent	Ideation	SAP AI Agent to validate financial transaction coding with invoices	Chief Digital Officer	National Capital Region	Automation and Decision Support	Gardner, Leigh
249	AI Platform	Development	Build a secure, scalable AI platform that extends the Enterprise Data Hub (EDH) and enables DFO teams to develop, deploy and govern AI solut...	Chief Digital Officer	National Capital Region	Infrastructure and Enablement	Esper, George
165	AIMMS (Artificial Intelligence for Marine Mammals in Survey imagery)	Development	The AIMMS project develops a platform to automate and accelerate the interpretation of aerial imagery for marine mammal population assessmen...	Fisheries Management	National Capital Region	Perception and Understanding	Mosnier, Arnaud
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
188	Coastal Surveillance	Pilot	Automatically process thousands of drone images as part of continuous surveillance Solution being developed in region to assist C&P in batch...	Indigenous Affairs, Aquaculture and Governance	Gulf	Perception and Understanding	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
217	Suite du projet de recherche de recherche et développement d’outils de vision automatisée pour l’étude des refuges marins des coraux et des éponges du golfe du Saint-Laurent. Not translated · original: French	Pilot	Une entente de contribution pour l’année 2025-2026 (Programme de gestion des océans) visant à l’amélioration de l’outil développé par le Cen...	Marine Planning and Conservation	Quebec	Perception and Understanding	Brossard, Jade
218	L’observation des bélugas de l’estuaire du Saint-Laurent Not translated · original: French	Pilot	Entente de contribution avec le Groupe de recherche et d'éducation sur les mammifères marins (GREMM) pour le développement d'un module de me...	Marine Planning and Conservation	Quebec	Perception and Understanding	Robert, Sonia
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
83	Daily Use	Pilot	Mapping, The AI Assist function in FME has been used to support code development for data processing while integrating and manipulating data...	Programs Sector	National Capital Region	Automation and Decision Support	Newman, Candace
92	Identification automatisée de la condition de carapace de crabe des neiges Not translated · original: French	Pilot	Détermination de la condition de carapace de crabe des neiges à partir d’images. La méthode offre une façon de valider/améliorer des données...	Ecosystems and Oceans Science	National Capital Region	Perception and Understanding	Winegardner, Amanda
93	Détection de homards et de crabes communs dans les images sous-marines par intelligence artificielle. Not translated · original: French	Pilot	Développer un processus de capture et d’analyse d’images sous-marine par Intelligence Artificielle pour la détection de homards et de crabes...	Ecosystems and Oceans Science	National Capital Region	Perception and Understanding	Winegardner, Amanda
109	Advancing Support Systems to Understand the Ocean using AI	Pilot	A workshop will be hosted to identify international best practices and key considerations for using AI technologies to understand and predic...	Ecosystems and Oceans Science	National Capital Region	Infrastructure and Enablement	Winegardner, Amanda
125	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	National Capital Region	Automation and Decision Support	Winegardner, Amanda
155	A VPN-accessible data science environment	Pilot	Set up a CDOS-managed Linux desktop to allow a safe and powerful data science environment where Scientists can sagely test data science tool...	Ecosystems and Oceans Science	National Capital Region	Infrastructure and Enablement	Winegardner, Amanda
159	Chumputer Vision - salmon scale age predictive AI	Pilot	Deep Machine growth pattern Learning of chum salmon scales for predictive age assignments by way of scale pattern interpretation.	Ecosystems and Oceans Science	National Capital Region	Perception and Understanding	Winegardner, Amanda
163	Recherches sur l’Intelligence artificielle pour le traitement automatisé des données d’acoustiques sous-marine Not translated · original: French	Pilot	Nous utilisons les technologies d’apprentissage profond (deep learning) et les détecteurs pour la détection et identification en temps réal...	Ecosystems and Oceans Science	National Capital Region	Perception and Understanding	Winegardner, Amanda
166	Détection de baleines sur les images obtenues par les drones Not translated · original: French	Pilot	Ce projet vise à générer des bases de données d’images annotées et des modèles IA entrainés pour détecter les différentes espèces ou groupes...	Ecosystems and Oceans Science	National Capital Region	Perception and Understanding	Winegardner, Amanda

191
Irish Moss Research
Automatically and non-invasively detect and assess health of Irish Moss Solution being developed for Science to review hundreds of hours of video for Irish Moss presence and health.

Ideation On hold Indigenous Affairs, Aquaculture and Governance Perception and Understanding
176
Analysis of roles
Analysis of roles: Ad hoc analysis of roles within C&P, comparing 4 different roles and their responsibilities.

Ideation Strategic Policy Automation and Decision Support
162
Recherche et développement d’outils de vision automatisée pour l’étude des refuges marins des coraux et des éponges du golfe du Saint-Laurent.
Projet de contribution avec le Centre de développement et de recherche en intelligence numérique (CDRIN). L’objectif est de concevoir et développer un outil d’intelligence artificielle permettant de détecter et suivre les organismes benthiques filmés dans refuges marins des coraux et des éponges du Golfe du Saint-Laurent.

Ideation Ecosystems and Oceans Science Perception and Understanding
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.

Ideation Ecosystems and Oceans Science Automation and Decision Support
35
AI-assisted Solution to Detect Ghost Gear from Side Scan Sonar Images
The goal of the project is use AI to automate data analysis in detecting Ghost Gear. Client: Ghost Gear Program

Ideation On hold Strategic Policy Perception and Understanding
18
Classification AI
Classification AI (Mark Jarvis) to help with the creation of job descriptions/tasks and analyze job descriptions to help with SoMCs

Ideation Chief Digital Officer Cognitive and Generative AI
10
AI Agent for EGCS
AI Agent for EGCS to evaluate Gs&Cs applications from external applicants (not until 2026-27)

Ideation Chief Digital Officer Automation and Decision Support
8
SAP AI Agent
SAP AI Agent to validate financial transaction coding with invoices

Ideation Chief Digital Officer Automation and Decision Support
249
AI Platform
Build a secure, scalable AI platform that extends the Enterprise Data Hub (EDH) and enables DFO teams to develop, deploy and govern AI solutions that will accelerate insights, support scientific discovery and uphold the highest standards of data quality, security, and ethical use.

Development Chief Digital Officer Infrastructure and Enablement
165
AIMMS (Artificial Intelligence for Marine Mammals in Survey imagery)
The AIMMS project develops a platform to automate and accelerate the interpretation of aerial imagery for marine mammal population assessments. By streamlining annotation and review, and enabling scientists to develop custom machine-learning models without advanced coding skills, the AIMMS workflow significantly reduce processing time, accelerate delivery of science advice, and lower operational costs.

Development Fisheries Management Perception and Understanding
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
188
Coastal Surveillance
Automatically 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
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
217
Suite du projet de recherche de recherche et développement d’outils de vision automatisée pour l’étude des refuges marins des coraux et des éponges du golfe du Saint-Laurent.
Une entente de contribution pour l’année 2025-2026 (Programme de gestion des océans) visant à l’amélioration de l’outil développé par le Centre de développement et de recherche en intelligence numérique (CDRIN) en 2024-2025. Le projet a comme objectif global de concevoir et développer un outil d’intelligence artificielle permettant de détecter et suivre les organismes benthiques filmés dans les refuges marins des coraux et des éponges du Golfe du Saint-Laurent.

Pilot Marine Planning and Conservation Perception and Understanding
218
L’observation des bélugas de l’estuaire du Saint-Laurent
Entente de contribution avec le Groupe de recherche et d'éducation sur les mammifères marins (GREMM) pour le développement d'un module de mesures morphométriques assistées par l’intelligence artificielle pour les bélugas de l'estuaire du Saint-Laurent L’entente s’est terminée le 31 mars 2024 mais le module est en cours d’utilisation. Considérant la contrainte de temps imposée par les mesures manuelles des images prises par drones de bélugas, l’équipe de recherche du GREMM a développé une méthode exploitant l’IA pour mesurer plus rapidement et plus efficacement les bélugas.

Pilot Marine Planning and Conservation Perception and Understanding
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
83
Daily Use
Mapping, The AI Assist function in FME has been used to support code development for data processing while integrating and manipulating data in workbenches.

Pilot Programs Sector Automation and Decision Support
92
Identification automatisée de la condition de carapace de crabe des neiges
Détermination de la condition de carapace de crabe des neiges à partir d’images. La méthode offre une façon de valider/améliorer des données de condition de carapace prises sur le terrain. Ces déterminations sont importantes pour quantifier le recrutement à la pêche durant le relevé scientifique ainsi qu’améliorer la qualité des données de crabe mou dans programme observateur-en-mer.

Pilot Ecosystems and Oceans Science Perception and Understanding
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
109
Advancing Support Systems to Understand the Ocean using AI
A workshop will be hosted to identify international best practices and key considerations for using AI technologies to understand and predict the ocean.

Pilot Ecosystems and Oceans Science Infrastructure and Enablement
125
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
155
A VPN-accessible data science environment
Set 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
159
Chumputer Vision - salmon scale age predictive AI
Deep 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
163
Recherches sur l’Intelligence artificielle pour le traitement automatisé des données d’acoustiques sous-marine
Nous 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
166
Détection de baleines sur les images obtenues par les drones
Ce 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