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 current initiative(s)
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257
Figma AIThe 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 Chief Digital Officer
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255
AI for designWe’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 Chief Digital Officer
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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.
Idea Strategic Policy
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253
complaint triagetriage of email notifications to auto-distribute to an appropriate email inbox, based on the location of the information received
Idea Conservation and Protection
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246
GeoAIOverview: 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
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231
Smart AssystAssyst 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 Chief Digital Officer Interaction and Engagement
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230
Copilot Studio platform implementationWith 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 Chief Digital Officer Infrastructure and Enablement
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225
Data Innovation – Pacific Salmon Strategy InitiativeDiscover 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 and Enablement
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219
Fish-Habitat AssociationsExtraction 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 Ecosystems and Oceans Science Cognitive and Generative AI
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201
Maximize detections with AI of the aquatic autonomous environmental DNA (eDNA) samplerThis 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
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192
Harbour AssessmentsAutomatically 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 On hold Indigenous Affairs, Aquaculture and Governance Perception and Understanding
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191
Irish Moss ResearchAutomatically 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 On hold Indigenous Affairs, Aquaculture and Governance Perception and Understanding
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189
Site AssessmentsAutomatically 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 On hold Indigenous Affairs, Aquaculture and Governance Perception and Understanding
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184
Email searches in response to requestsLeverage 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
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182
Basic Translations & Data ProcessingWe 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 Programs Sector Cognitive and Generative AI
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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.
Idea Strategic Policy Cognitive and Generative AI
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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.
Idea Strategic Policy Automation and Decision Support
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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
Idea Strategic Policy Automation and Decision Support
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176
Analysis of rolesAnalysis of roles: Ad hoc analysis of roles within C&P, comparing 4 different roles and their responsibilities.
Idea Strategic Policy Automation and Decision Support
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175
AI model for duplcate or dubious licence accountsLicencing 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
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174
AI model for Video reviewAn AI model that reviews video monitoring footage for a fishery or given vessel and machine learns potential events of non compliance
Idea Programs Sector Perception and Understanding
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173
AI model for the traceability of harvested fishAn 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
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172
AI model for Condtions of Licences reviewPac 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
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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 Ecosystems and Oceans Science Cognitive and Generative AI
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164
Development of an abundance index for an under surveyed capelin stockRecherche 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