Registre des initiatives en IA

Toutes les initiatives inscrites au registre sont consultables ici, sans compte. Chaque fiche montre son avancement, ses jalons et l'historique de ses décisions. Les demandes encore en cours de triage n'y figurent pas : elles rejoignent le registre une fois examinées.

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63 initiative(s) courante(s)

Registre des initiatives en IA
ID	Initiative en IA	Statut actuel	Description	Secteur	Région	Catégorie d'IA	Expert en la matière
257	IA Figma	Idea	The initiative explores the use of Figma's AI capabilities to support user experience (UX) design activities across DFO. Figma AI features m...	Dirigeant principal du numérique	Sans région précise	—	Matheson-Fitchett, Ariel
255	L'IA au service du design	Idea	We’re exploring the use of a SaaS design tool with built-in AI, such as Claude Design, to support UX and design work using unclassified info...	Dirigeant principal du numérique	Région de la capitale nationale	—	Matheson-Fitchett, Ariel
254	Amélioration de la qualité des données sur les prises et l'effort de pêche	Idea	The creation of a tool or system to use administrative data records to produce a clean and complete database of trip level catch and effort...	Politiques stratégiques	Région de la capitale nationale	—	Fritzsche, Sheri
253	Tri des plaintes	Idea	triage of email notifications to auto-distribute to an appropriate email inbox, based on the location of the information received	Conservation et protection	Maritimes	—	Albright, Tara
246	GeoAI Non traduit	Idea	Overview: Potential GeoAI‑Impacted Programs and Processes GeoAI (the integration of geospatial data, AI, and machine learning) is being exp...	Dirigeant principal du numérique	Sans région précise	Automatisation et aide à la décision	Merner, Erick
231	Smart Assyst Non traduit	Idea	Assyst is point of entry to all CDOS service requests and it covers many of the ITIL and ITSM practices which is the foundation of any IT or...	Dirigeant principal du numérique	Région de la capitale nationale	Interaction et engagement	Laplante, Stéphane
230	Mise en œuvre de la plateforme Copilot Studio	Idea	With the growing interest from CDOS and the rest of the department on custom AI Chat Bots and Citizen Development, there is an opportunity t...	Dirigeant principal du numérique	Région de la capitale nationale	Infrastructure et habilitation	Laplante, Stéphane
225	Innovation en matière de données – Initiative relative à la stratégie sur le saumon du Pacifique	Idea	Discover innovative data and artificial intelligence (A.I) projects addressing complex salmon data challenges made possible through strategi...	—	Pacifique	Infrastructure et habilitation	—
219	Fish-Habitat Associations Non traduit	Idea	Extraction of relevant habitat association info and strengths based on vetted literature input to AI for synthesis. Goal to improve equival...	Sciences des écosystèmes et des océans	Ontario et Prairies	IA cognitive et générative	Klein, David
201	Maximize detections with AI of the aquatic autonomous environmental DNA (eDNA) sampler Non traduit	Idea	This Canadian apparatus provides detections of aquatic species through a standardized and reproducible method. Algorithms of AI analyze data...	—	Région de la capitale nationale	Automatisation et aide à la décision	Winegardner, Amanda
192	Harbour Assessments Non traduit	On hold En pause	Automatically and continuously assess harbour conditions via drone and satellite imagery Solution being developed for Small Craft harbours t...	Affaires autochtones, aquaculture et gouvernance	Golfe	Perception et compréhension	Dupuis, Marc
191	Irish Moss Research Non traduit	On hold En pause	Automatically and non-invasively detect and assess health of Irish Moss Solution being developed for Science to review hundreds of hours of...	Affaires autochtones, aquaculture et gouvernance	Golfe	Perception et compréhension	Dupuis, Marc
189	Site Assessments Non traduit	On hold En pause	Automatically assess presence of eel grass from drone video Solution being developped to assist Fish and Fish Habitat Protection Program in...	Affaires autochtones, aquaculture et gouvernance	Golfe	Perception et compréhension	Dupuis, Marc
184	Recherches dans les courriels en réponse à des demandes	Idea	Leverage M365 Copilot functionalities to leverage AI to perform email searches in response to certain requests, including those related to A...	Secteur des programmes	Région de la capitale nationale	Automatisation et aide à la décision	Fernandes, Ashley
182	Traductions de base et traitement des données	Idea	We have identified several effective use cases: Processing machine readable data into human readable formats, basic translations, and summar...	Secteur des programmes	Région de la capitale nationale	IA cognitive et générative	Fenton, AJ
179	Centre d’excellence en gestion du changement – Assistant IA	Idea	Change Management Centre of Excellence – AI Assistant: Using a Copilot agent as our dedicated assistant to support the sector by providing a...	Politiques stratégiques	Région de la capitale nationale	IA cognitive et générative	Kiefl, Richard
178	Procès-verbaux des décisions des comités de gouvernance relevant du DPD	Idea	Records of Decision for Governance Committees Supporting the Chief Digital Office: Leveraging the transcript function in Microsoft Teams to...	Politiques stratégiques	Région de la capitale nationale	Automatisation et aide à la décision	Kiefl, Richard
177	Resume Bank Analysis Non traduit	Idea	Resume bank analysis: summarizing candidates resumes in our digital skills bank to provide consistent summaries (remove biases) and potentia...	Politiques stratégiques	Région de la capitale nationale	Automatisation et aide à la décision	Kiefl, Richard
176	Analysis of roles Non traduit	Idea	Analysis of roles: Ad hoc analysis of roles within C&P, comparing 4 different roles and their responsibilities.	Politiques stratégiques	Région de la capitale nationale	Automatisation et aide à la décision	Kiefl, Richard
175	AI model for duplcate or dubious licence accounts Non traduit	Idea	Licencing systems hold 10 times the amount accounts compared to licences issued. Many duplicate and dubious accounts across the millions of...	Secteur des programmes	Région de la capitale nationale	Automatisation et aide à la décision	Bédard, Mathieu
174	AI model for Video review Non traduit	Idea	An AI model that reviews video monitoring footage for a fishery or given vessel and machine learns potential events of non compliance	Secteur des programmes	Région de la capitale nationale	Perception et compréhension	Bédard, Mathieu
173	AI model for the traceability of harvested fish Non traduit	Idea	An AI model that analysis incoming data requirements ( log books, fish slips, Other traceability documents required by existing and potentia...	Secteur des programmes	Région de la capitale nationale	Automatisation et aide à la décision	Bédard, Mathieu
172	AI model for Condtions of Licences review Non traduit	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...	Secteur des programmes	Région de la capitale nationale	Automatisation et aide à la décision	Bédard, Mathieu
167	Network model developing and testing with synthetic AI participants.	Idea	Qualitative network models (QNM) can incorporate uncertainty through an ensemble of rights holder and stakeholder inputs. Before, engaging t...	Sciences des écosystèmes et des océans	Région de la capitale nationale	IA cognitive et générative	Winegardner, Amanda
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...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Automatisation et aide à la décision	Winegardner, Amanda

257
IA Figma
The initiative explores the use of Figma's AI capabilities to support user experience (UX) design activities across DFO. Figma AI features may assist in generating interface designs, creating wireframes, producing placeholder content, organizing design assets, accelerating prototyping activities, and improving collaboration among design teams. The objective is to improve productivity and reduce manual effort while maintaining human oversight of all design decisions and outputs.

Idea Dirigeant principal du numérique
255
L'IA au service du design
We’re exploring the use of a SaaS design tool with built-in AI, such as Claude Design, to support UX and design work using unclassified information. The goal is to help with things like early ideation, drafting content, prototyping, and general design workflows to improve speed and consistency. We’re also trying to understand the leanest and most efficient way to go through AI governance for this type of tool, while still meeting privacy, security, and policy requirements.

Idea Dirigeant principal du numérique
254
Amélioration de la qualité des données sur les prises et l'effort de pêche
The 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.

Idea Politiques stratégiques
253
Tri des plaintes
triage of email notifications to auto-distribute to an appropriate email inbox, based on the location of the information received

Idea Conservation et protection
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 Dirigeant principal du numérique Automatisation et aide à la décision
231
Smart Assyst
Assyst is point of entry to all CDOS service requests and it covers many of the ITIL and ITSM practices which is the foundation of any IT organisation - and it has the potential to support most if not all of the ITIL and ITSM practices. The most recent versions of Assyst now have deeply integrated AI functionalities that are embedded in all parts and stages of the IT support process. It includes: A natively integrated Chat Bot for technicians and clients, AI ticket assignment, integration to MS Teams, recommended solutions, automated FAQ generation, natural language system search, risk prediction, conversational coding for Assyst developers, smart ticket assignment and escalation, summarization of knowledge articles, and more Activating and configuring those AI functionalities would require an investment in the Assyst system in order to make it AI ready. There is currently a lot of waste in the various CDOS ITIL practices due to a lack of investment in our ITSM tools. Modernizing Assyst to make it AI ready and turning on many of the newer AI features would joinlty contribute to reduce much of the waste incurred during the delivery of our CDOS services to the organization. It would also be a strong showcase both for CDOS and our clients of the power of AI integrated to a complete service process instead of the common and simple use case of AI conversational agents that may only produce limited and siloed value.

Idea Dirigeant principal du numérique Interaction et engagement
230
Mise en œuvre de la plateforme Copilot Studio
With the growing interest from CDOS and the rest of the department on custom AI Chat Bots and Citizen Development, there is an opportunity to increase IT enablement through the use of low code solutions. Since the department has already invested indirectly in the Power Platform, it makes sense to extend that investment into the proper implementation of Microsoft Copilot Studio which is another tool from the Power Platform rapid development platform.

Idea Dirigeant principal du numérique Infrastructure et habilitation
225
Innovation en matière de données – Initiative relative à la stratégie sur le saumon du Pacifique
Discover innovative data and artificial intelligence (A.I) projects addressing complex salmon data challenges made possible through strategic investments from the Pacific Salmon Strategy Initiative (PSSI). PSSI initiatives harness the power of advanced data and A.I. technologies like machine learning, computer vision, and natural language processing to revolutionize how to support salmon conservation and rebuilding efforts in the modern data and digital era. By integrating advanced data and A.I. technologies with program activities such as habitat restoration, ecosystem planning, sustainable fishery management practices, and collaborative efforts in Science, the PSSI leverages modern tools to enhance planning and data-driven decision-making. Together, these data and A.I. efforts create high quality and more accessible data and enable better insights and actions to protect and restore Pacific salmon and its ecosystems.

Idea Infrastructure et habilitation
219
Fish-Habitat Associations
Extraction of relevant habitat association info and strengths based on vetted literature input to AI for synthesis. Goal to improve equivalency models used in regulatory decisions. Possible partnership with McMaster University.

Idea Sciences des écosystèmes et des océans IA cognitive et générative
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 Automatisation et aide à la décision
192
Harbour Assessments
Automatically and continuously assess harbour conditions via drone and satellite imagery Solution being developed for Small Craft harbours to assess harbour conditions (presence of ice, usage, vessel and vehicle traffic, change detection) based on drone footage and satellite imagery.

On hold En pause Affaires autochtones, aquaculture et gouvernance Perception et compréhension
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.

On hold En pause Affaires autochtones, aquaculture et gouvernance Perception et compréhension
189
Site Assessments
Automatically assess presence of eel grass from drone video Solution being developped to assist Fish and Fish Habitat Protection Program in reviewing hundreds of hours of drone footage to detect presence of Eel Grass.

On hold En pause Affaires autochtones, aquaculture et gouvernance Perception et compréhension
184
Recherches dans les courriels en réponse à des demandes
Leverage M365 Copilot functionalities to leverage AI to perform email searches in response to certain requests, including those related to ATI/P

Idea Secteur des programmes Automatisation et aide à la décision
182
Traductions de base et traitement des données
We have identified several effective use cases: Processing machine readable data into human readable formats, basic translations, and summarizing large documents and reports into digestible formats. We participated in tests of the DFO Pilot ChatGPT (GPT3) which was available prior to the DFO implementation of MS Copilot. As part of our testing, we identified several effective use cases which apply to both options since they're based on the same under

Idea Secteur des programmes IA cognitive et générative
179
Centre d’excellence en gestion du changement – Assistant IA
Change 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.

Idea Politiques stratégiques IA cognitive et générative
178
Procès-verbaux des décisions des comités de gouvernance relevant du DPD
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 Politiques stratégiques Automatisation et aide à la décision
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 Politiques stratégiques Automatisation et aide à la décision
176
Analysis of roles
Analysis of roles: Ad hoc analysis of roles within C&P, comparing 4 different roles and their responsibilities.

Idea Politiques stratégiques Automatisation et aide à la décision
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 Secteur des programmes Automatisation et aide à la décision
174
AI model for Video review
An AI model that reviews video monitoring footage for a fishery or given vessel and machine learns potential events of non compliance

Idea Secteur des programmes Perception et compréhension
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 Secteur des programmes Automatisation et aide à la décision
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 Secteur des programmes Automatisation et aide à la décision
167
Network model developing and testing with synthetic AI participants.
Qualitative network models (QNM) can incorporate uncertainty through an ensemble of rights holder and stakeholder inputs. Before, engaging these communities, QNMs should be tested and this can be done via the development of synthetic AI participants representing viewpoints to engage with potential social uncertainty before actual real world deployment

Idea Sciences des écosystèmes et des océans IA cognitive et générative
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 Sciences des écosystèmes et des océans Automatisation et aide à la décision