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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39 initiative(s)
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1
M365 Copilot PilotWe are running the Copilot Licensed pilot to see the use of Copilot as an elevated assistant. We are looking into how productive it can help people perform their work, reduce administratrive tasking We have 300 licenses, but we also have all DFO users available for a smaller version of Copilot that could be leveraged.
Pilot Chief Digital Officer Cognitive and Generative AI
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Change Management and AIWe wish to leverage AI for the change management group. this will leverage copilot for now or more elevated toolls, but it will, consolidate the meeting notes, and leverage a sharepoint site to gather related information. we would also like it to be able to review the impact and provide an unofficial assessement We would only need readyness and support to look into it.
Idea Chief Digital Officer Cognitive and Generative AI
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ITSD knowledge content improvementThe DFO IT Service Desk is leveraging generative AI (usually Copilot) to enhance its knowledge base articles and Assyst FAQs, which is knowledge intended for clients. This includes creating new knowledge articles, validating and improving existing content, translating materials, and tailoring messaging to different audiences.
Pilot Chief Digital Officer Cognitive and Generative AI
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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
Idea Chief Digital Officer Cognitive and Generative AI
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22
AI Model for Administrative SupportPilot with select staff using MS Copilot for briefing material preparation, data analysis, writing, and translation. Exploring broader access for process automation. Action plan for this initiative: 1. Governance: Assign project lead, document user access. Regular check-ins with IT and management. 2. Guardrails: Restrict to trained users, apply GC data/privacy standards, conduct ethical reviews and audits. 3. Work pr
Pilot Programs Sector Cognitive and Generative AI
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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
Idea Chief Digital Officer Cognitive and Generative AI
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Classification engineered promptsOur classification group is testing premade prompts to help with job description writing and analysis. ADDED FROM ID 48: We are exploring using AI to help with job description writing and editing tasks, and initial tests using copilot have been helpful. It would be nice to have a tool that could write and edit job descriptions, help analyse current job descriptions and help with SoMCs, etc… This wouldn’t need protected data for training, but we would need to upload classification documents needed for this type of work.
Pilot Human Resources and Corporate Services Cognitive and Generative AI
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Classification AIWe are exploring using AI to help with job description writing and editing tasks, and initial tests using copilot have been helpful. It would be nice to have a tool that could write and edit job descriptions, help analyse current job descriptions and help with SoMCs, etc… This wouldn’t need protected data for training, but we would need to upload classification documents needed for this type of work.
Idea Human Resources and Corporate Services Cognitive and Generative AI
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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
Idea Programs Sector Cognitive and Generative AI
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63
Factoid Finder ToolThe Factoid Finder extracts text from machine-readable PDFs to create searchable content libraries. Small Language Models are used to implement semantic search techniques, allowing users to search the library for relevant passages within the PDFs. Small Language Model and Text Embedder: MS Marco Distilbert Dot-v5 Cross-encoder: MS Marco MiniLM-L6-v2
Pilot Cognitive and Generative AI
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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
Idea 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
Idea Ecosystems and Oceans Science Cognitive and Generative AI
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78
Okanagan sockeye life cycle modelUsing LLM (ChatGPT) to support the development of a statistical lifecycle model for Okanagan sockeye. LLMs are not developing the models but are used to brainstorm modelling approaches, debug code, and confirm that written model descriptions in manuscripts are accurate and clear. AI is not being tasked with developing these models. Large Language Models
Pilot 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
Idea Ecosystems and Oceans Science Cognitive and Generative AI
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Various Built-In AI Features (Co-pilot, ChatGPT, etc)Using built-in AI features and functions in regular workflow operations. This includes LLM's such as ChatGPT, Microsoft Copilot, Gemini, and various others that are integrated directly into the applications already currently being used. Large Language Models
Pilot Ecosystems and Oceans Science Cognitive and Generative AI
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82
Conservation BenefitsThis AI initiative aims to improve access to CSAS documents by developing an AI-powered interface that allows users to quickly search and extract relevant information. With CSAS documents as the backend, the tool will help identify and surface conservation benefit language for faster, more targeted use. IT led by ISED
Idea Programs Sector Cognitive and Generative AI
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84
Daily UseDashboard Development, Used the standalone M365 version of Copilot to assist with coding.
Pilot Programs Sector Cognitive and Generative AI
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85
Daily UseBing CoPilot, ChatGPT-4 Emails, documents, speaking points, ideas
Pilot Programs Sector Cognitive and Generative AI
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101
Creating space-time continuous surface chlorophyll fields for northwest Atlantic using neural network methodsNeural network methods are applied to fill the space-time gaps in satellite remote sensing data of surface chlorophyll for the Northwest Atlantic. The generated dataset will be validated and analyzed.
Pilot Ecosystems and Oceans Science Cognitive and Generative AI
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102
Past, Present and Future Oceanographic Conditions in Canada's MPAs and Marine OECMs (Other Effective area-based Conservation Measures)Downscaling climate models using neural networks for conservation areas. Neural networks allow us to represent coarse resolution climate projections at a much higher spatial resolution across six eastern MPAs.
Pilot Ecosystems and Oceans Science Cognitive and Generative AI
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InsightBridge: Executive CSAS SummariesUses AI to convert complex, technical CSAS reports into concise, plain-language summaries tailored for executive decision-makers. Enhances leadership understanding and accelerates informed decision-making by providing easily digestible insights. Ensures executives can quickly grasp critical information without sifting through dense documentation.
Pilot Ecosystems and Oceans Science Cognitive and Generative AI
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115
PublicLens: Science in Plain LanguageLeverages AI to transform highly technical scientific and documents into accessible, plain-language summaries for the Canadian public. Fosters transparency and builds public trust by making scientific and government information easily understandable. Promotes civic engagement by breaking down barriers between experts and everyday Canadians.
Pilot Ecosystems and Oceans Science Cognitive and Generative AI
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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.
Pilot Ecosystems and Oceans Science Cognitive and Generative AI
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138
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
Pilot Ecosystems and Oceans Science Cognitive and Generative AI
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144
Factoid Finder ToolThis completed project used the Factoid Finder extracts text from machine-readable PDFs to create searchable content libraries. Small Language Models are used to implement semantic search techniques, allowing users to search the library for relevant passages within the PDFs.
Pilot Ecosystems and Oceans Science Cognitive and Generative AI