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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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.
Ideation Automation and Decision Support
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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.
Ideation Ecosystems and Oceans Science Cognitive and Generative AI
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79
Biological models to support prioritzing salmon stocks under future climatesThis project fits retrospective, life stage-specific models in a data-driven analytical framework to evaluate functional responses to climate variables across the salmon life cycle and make projections for how stocks will respond to climate change scenarios. This modelling approach is intended to be sufficiently flexible to incorporate variability in data quality. Large language models are being used to brainstorm modelling approaches and debug code. AI is not being tasked with developing these models. Large Language Models
Ideation Ecosystems and Oceans Science Cognitive and Generative AI
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77
Emulator for OPP port models and for relocatable ocean modelling systemUse machine learning to develop an emulator (or similar) for the OPP port models, which would be used to produce forecasts via inference. The inference is expected to be both faster and computationally cheaper than existing solutions. The training process would use existing model output from multi-year hindcasts. Success with a fixed location would graduate to developing a relocatable emulator TBD; could be U-Net or CNN, or based on GraphCast
Ideation Ecosystems and Oceans Science Cognitive and Generative AI
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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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Method Recommendation EngineA large language model reviews a scientist’s objective for collecting data in the field and based on the criteria, the model will provide the best procedure to use for their work
Ideation Programs Sector Automation and Decision Support
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76
Chumputer Vision - salmon scale age predictive AI (See B8)Deep Machine Learning and Convolutional Neural Network application for the predictive application of age assignment of Chum salmon by way of scale images. Chum salmon has been selected as the gateway species due to its relatively easy scale pattern interpretation, this will foster the pathway forward for Chinook, Coho Sockeye and Herring as future targets for AI age interpretation. Deep Machine Learning and Convolutional Neural Network within a Python predictive algorithm
Ideation Ecosystems and Oceans Science Perception and Understanding
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57
CSAS Knowledge GraphUsing LLM to extract ontologies and relationships within published CSAS reports into a Graph RAG so that users can visualize and query relationships between researches
Ideation Programs Sector Cognitive and Generative AI
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62
Deep sea habitat, organism and object detection and identification.Proposing a capstone project to Computer Science students from Camosun College to develop a pipeline for identifying objects and loading the results into Biigle for human review. TBD.
Ideation Ecosystems and Oceans Science Perception and Understanding
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75
Study on the use of Artificial Neural Networks to Predict the Return Timing and Northern Diversion Rate for Migrating Fraser River Sockeye SalmonThe 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. classical machine learning models, including linear regression, Ridge regression, and Random Forest
Ideation Ecosystems and Oceans Science Automation and Decision Support
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73
Statistical Downscaling for the Ocean Working Group (SD-Ocean)The Canada-wide working group is open to researchers and practitioners in academia, government, and the non-profit sector. The WG will foster growth of a transdisciplenary research cluster at the forefront of the rapidly-developing field by sharing tools, devloping a network of practitioners, and working through specific examples (hackathons). The recent rapid growth in Artificial Intelligence (AI) provides a set of Machine Learning (ML) tools for statistical downscaling
Ideation Ecosystems and Oceans Science Infrastructure and Enablement
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71
News topic detection toolUse large language models and topic clustering to read topics emerging in the news and detect which of those topics is relevant to DFO, as well as what knowledge DFO has available to address those topics. Large Language Models
Ideation Ecosystems and Oceans Science Cognitive and Generative AI
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72
Extracting impacts data from regulatory documentsUse OCR pdf readers, topic detection and language models to detect specific data elements inside written text documents, for extraction and analysis in a cumulative impacts context. Large lanugage models and topic clustering tools
Ideation Ecosystems and Oceans Science Perception and Understanding
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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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MyGCHR – Phoenix analysis toolPro B data would be needed, but feed MyGCHR and Phoenix records, but flag those that are incorrect in the hopes of training the AI to recognize future incorrect entries and to help clean up pay files for employees. P&C is in negotiation currently with PSPC to ‘own’ our backlog of Phoenix cases, so this could be a big help.
Ideation Human Resources and Corporate Services Automation and Decision Support
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27
Turn on AI Auto labeling on all M365 documents and communications channelsOur E5 M365 licences grant access to AI based tools in Purview to automatically categorized documents and set labels accordingly. Model training would require attention of an Security/IM expert to make perfect. We may want to create specific AI specific labels to avoid conflicts with officials ones.
Ideation Chief Digital Officer Automation and Decision Support
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Help DFO employees navigate CDOS structure and servicesCDOS is a large and complex organisation. Leverage AI to help DFO user access services, understand organization structure, identify SME. Expose know procedures and documentation through natural language. Using enterprise search, agents and other tools and technologies. Integrate existing tools such as Viva topics that already uses AI to identify expert based on multiple communication channels Right now multiple initiatives goes in this direction, but no unified vision, (pocket of knowledge) Currently not a great user experience, cdos internal staff oriented
Ideation Chief Digital Officer Interaction and Engagement
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26
Generative AI in intranet Internet content creationIntegrate Generative AI capacity right into Drupal CMS to help users create draft content, ease translation, generate images, tags and metadata. Technologie already exists, need to be security reviewed, integrated and configured. Challenge, web infrastructure team capacity
Ideation Chief Digital Officer Cognitive and Generative AI
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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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SAP AI AgentSAP AI Agent to validate financial transaction coding with invoices
Ideation Chief Digital Officer Automation and Decision Support
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SAP AI ChatbotSAP AI Chatbot to reduce support requests that need FMA resources
Ideation Interaction and Engagement
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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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MyPay HRMS ChatbotHRMS Chatbot (Mark Jarvis)
Ideation Human Resources and Corporate Services Interaction and Engagement
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Classification AIClassification 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
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21
CSAS Knowledge Base CreationThis solution leverages the Radia AI Assistant developed by the Department of Innovation, Science and Economic Development (ISED). The purpose of the initiative is to create a knowledge base of CSAS publications from the last 25 years. This knowledge base would allow anyone to leverage the AI Assistant to extract trends, data, and information in such a way as to plot new visualizations by unleashing the information held within the publication repository. This initiative has a Statement of Work with ISED and it is being scoped out for amount of work and cost. All indicators to date show that this is a very workable knowledge base development.
Ideation Cognitive and Generative AI