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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39 initiative(s)

Registre des initiatives en IA
ID	Initiative en IA	Statut actuel	Description	Secteur	Région	Catégorie d'IA	Expert en la matière
63	Factoid Finder Tool Non traduit	Pilot	The Factoid Finder extracts text from machine-readable PDFs to create searchable content libraries. Small Language Models are used to implem...	—	Pacifique	IA cognitive et générative	Caron, Chantelle
101	Creating space-time continuous surface chlorophyll fields for northwest Atlantic using neural network methods Non traduit	Pilot	Neural network methods are applied to fill the space-time gaps in satellite remote sensing data of surface chlorophyll for the Northwest Atl...	Sciences des écosystèmes et des océans	Région de la capitale nationale	IA cognitive et générative	Winegardner, Amanda
85	Daily Use Non traduit	Pilot	Bing CoPilot, ChatGPT-4 Emails, documents, speaking points, ideas	Secteur des programmes	Région de la capitale nationale	IA cognitive et générative	Newman, Candace
84	Daily Use Non traduit	Pilot	Dashboard Development, Used the standalone M365 version of Copilot to assist with coding.	Secteur des programmes	Région de la capitale nationale	IA cognitive et générative	Newman, Candace
82	Conservation Benefits Non traduit	Idea	This AI initiative aims to improve access to CSAS documents by developing an AI-powered interface that allows users to quickly search and ex...	Secteur des programmes	Région de la capitale nationale	IA cognitive et générative	Newman, Candace
80	Various Built-In AI Features (Co-pilot, ChatGPT, etc) Non traduit	Pilot	Using built-in AI features and functions in regular workflow operations. This includes LLM's such as ChatGPT, Microsoft Copilot, Gemini, and...	Sciences des écosystèmes et des océans	Pacifique	IA cognitive et générative	Quan, Eric
79	Biological models to support prioritzing salmon stocks under future climates Non traduit	Idea	This project fits retrospective, life stage-specific models in a data-driven analytical framework to evaluate functional responses to climat...	Sciences des écosystèmes et des océans	Pacifique	IA cognitive et générative	Thompson, Patrick
78	Okanagan sockeye life cycle model Non traduit	Pilot	Using LLM (ChatGPT) to support the development of a statistical lifecycle model for Okanagan sockeye. LLMs are not developing the models but...	Sciences des écosystèmes et des océans	Pacifique	IA cognitive et générative	Thompson, Patrick
77	Emulator for OPP port models and for relocatable ocean modelling system Non traduit	Idea	Use machine learning to develop an emulator (or similar) for the OPP port models, which would be used to produce forecasts via inference. Th...	Sciences des écosystèmes et des océans	Pacifique	IA cognitive et générative	Dunphy, Michael
71	News topic detection tool Non traduit	Idea	Use large language models and topic clustering to read topics emerging in the news and detect which of those topics is relevant to DFO, as w...	Sciences des écosystèmes et des océans	Pacifique	IA cognitive et générative	Bird, Tom
102	Past, Present and Future Oceanographic Conditions in Canada's MPAs and Marine OECMs (Other Effective area-based Conservation Measures) Non traduit	Pilot	Downscaling climate models using neural networks for conservation areas. Neural networks allow us to represent coarse resolution climate pro...	Sciences des écosystèmes et des océans	Région de la capitale nationale	IA cognitive et générative	Winegardner, Amanda
57	CSAS Knowledge Graph Non traduit	Idea	Using LLM to extract ontologies and relationships within published CSAS reports into a Graph RAG so that users can visualize and query relat...	Secteur des programmes	Pacifique	IA cognitive et générative	Quan, Eric
48	Classification AI Non traduit	Idea	We are exploring using AI to help with job description writing and editing tasks, and initial tests using copilot have been helpful. It woul...	Ressources humaines et services de gestion	Région de la capitale nationale	IA cognitive et générative	Gardner, Leigh
42	Classification engineered prompts Non traduit	Pilot	Our classification group is testing premade prompts to help with job description writing and analysis. ADDED FROM ID 48: We are exploring...	Ressources humaines et services de gestion	Région de la capitale nationale	IA cognitive et générative	Gardner, Leigh
26	Generative AI in intranet Internet content creation Non traduit	Idea	Integrate Generative AI capacity right into Drupal CMS to help users create draft content, ease translation, generate images, tags and metad...	Dirigeant principal du numérique	Québec	IA cognitive et générative	Bussieres, Martin
22	AI Model for Administrative Support Non traduit	Pilot	Pilot with select staff using MS Copilot for briefing material preparation, data analysis, writing, and translation. Exploring broader acces...	Secteur des programmes	Région de la capitale nationale	IA cognitive et générative	Bédard, Mathieu
18	Classification AI Non traduit	Idea	Classification AI (Mark Jarvis) to help with the creation of job descriptions/tasks and analyze job descriptions to help with SoMCs	Dirigeant principal du numérique	Région de la capitale nationale	IA cognitive et générative	Gardner, Leigh
5	ITSD knowledge content improvement Non traduit	Pilot	The DFO IT Service Desk is leveraging generative AI (usually Copilot) to enhance its knowledge base articles and Assyst FAQs, which is knowl...	Dirigeant principal du numérique	Québec	IA cognitive et générative	Miousse, Gaétan
2	Change Management and AI Non traduit	Idea	We wish to leverage AI for the change management group. this will leverage copilot for now or more elevated toolls, but it will, consolidate...	Dirigeant principal du numérique	Région de la capitale nationale	IA cognitive et générative	Tsang, Paul
1	M365 Copilot Pilot Non traduit	Pilot	We 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...	Dirigeant principal du numérique	Région de la capitale nationale	IA cognitive et générative	Tremblay, Julien
168	Development of bespoke data-limited tools using AI coding. Non traduit	Pilot	The majority of Canadian fish stocks are data limited thus preventing full analytical stock assessments. Data limited tools are therefore th...	Sciences des écosystèmes et des océans	Région de la capitale nationale	IA cognitive et générative	Winegardner, Amanda
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
215	Projet pilote d’utilisation de M365 Copilot, pour le programme de Protection du poisson et de son habitat (PPPH / FFHPP) Non traduit	Pilot	Utilisation de Microsoft 365 Copilot dans le cadre de la modernisation du PPPH Réflexions sur les possibilités d’optimiser les processus d...	Dirigeant principal du numérique	Québec	IA cognitive et générative	Roy, Vincent
185	Radia AI Non traduit	Pilot	Exploring the capbilities of ISED/CRC's AI Innovation Hub's Radia AI and how it can be leveraged in our directorate's work.	Secteur des programmes	Région de la capitale nationale	IA cognitive et générative	De Vito, Marianne
183	General - Office Management Non traduit	Pilot	Draft and Refine Documents: Staff make use of Copilot to generate or refine briefing notes to make these clear and concise. Enhance Collabor...	Secteur des programmes	Région de la capitale nationale	IA cognitive et générative	Fernandes, Ashley

63
Factoid Finder Tool
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. Small Language Model and Text Embedder: MS Marco Distilbert Dot-v5 Cross-encoder: MS Marco MiniLM-L6-v2

Pilot IA cognitive et générative
101
Creating space-time continuous surface chlorophyll fields for northwest Atlantic using neural network methods
Neural 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 Sciences des écosystèmes et des océans IA cognitive et générative
85
Daily Use
Bing CoPilot, ChatGPT-4 Emails, documents, speaking points, ideas

Pilot Secteur des programmes IA cognitive et générative
84
Daily Use
Dashboard Development, Used the standalone M365 version of Copilot to assist with coding.

Pilot Secteur des programmes IA cognitive et générative
82
Conservation Benefits
This 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 Secteur des programmes IA cognitive et générative
80
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 Sciences des écosystèmes et des océans IA cognitive et générative
79
Biological models to support prioritzing salmon stocks under future climates
This 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 Sciences des écosystèmes et des océans IA cognitive et générative
78
Okanagan sockeye life cycle model
Using 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 Sciences des écosystèmes et des océans IA cognitive et générative
77
Emulator for OPP port models and for relocatable ocean modelling system
Use 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 Sciences des écosystèmes et des océans IA cognitive et générative
71
News topic detection tool
Use 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 Sciences des écosystèmes et des océans IA cognitive et générative
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 Sciences des écosystèmes et des océans IA cognitive et générative
57
CSAS Knowledge Graph
Using 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 Secteur des programmes IA cognitive et générative
48
Classification AI
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.

Idea Ressources humaines et services de gestion IA cognitive et générative
42
Classification engineered prompts
Our 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 Ressources humaines et services de gestion IA cognitive et générative
26
Generative AI in intranet Internet content creation
Integrate 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 Dirigeant principal du numérique IA cognitive et générative
22
AI Model for Administrative Support
Pilot 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 Secteur des programmes IA cognitive et générative
18
Classification AI
Classification AI (Mark Jarvis) to help with the creation of job descriptions/tasks and analyze job descriptions to help with SoMCs

Idea Dirigeant principal du numérique IA cognitive et générative
5
ITSD knowledge content improvement
The 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 Dirigeant principal du numérique IA cognitive et générative
2
Change Management and AI
We 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 Dirigeant principal du numérique IA cognitive et générative
1
M365 Copilot Pilot
We 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 Dirigeant principal du numérique IA cognitive et générative
168
Development of bespoke data-limited tools using AI coding.
The majority of Canadian fish stocks are data limited thus preventing full analytical stock assessments. Data limited tools are therefore the only approach. We are engaged in quick Ai development of custom data limited assessment approaches for exploited fish stocks

Pilot Sciences des écosystèmes et des océans IA cognitive et générative
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
215
Projet pilote d’utilisation de M365 Copilot, pour le programme de Protection du poisson et de son habitat (PPPH / FFHPP)
Utilisation de Microsoft 365 Copilot dans le cadre de la modernisation du PPPH Réflexions sur les possibilités d’optimiser les processus du programme en s’appuyant sur l’utilisation de M365 Copilot.

Pilot Dirigeant principal du numérique IA cognitive et générative
185
Radia AI
Exploring the capbilities of ISED/CRC's AI Innovation Hub's Radia AI and how it can be leveraged in our directorate's work.

Pilot Secteur des programmes IA cognitive et générative
183
General - Office Management
Draft and Refine Documents: Staff make use of Copilot to generate or refine briefing notes to make these clear and concise. Enhance Collaboration and Workflow Efficiency: By offering suggestions for document formatting, language style, and clarifying content, Copilot helps maintain consistency and accuracy across communications and facilitates more effective interdepartmental collaboration. Meeting notes: After a meeting is recorded, Copilot can transcribe audio to produce a relatively accurate record of the discussion, using natural language processing to identify key points, decisions, and follow-up tasks, and organizing these into relatively concise summaries and action item lists. Conduct Research and Summarize Information: It can quickly extract key points from extensive reports, legislation, or guidelines—helping to synthesize complex information into actionable insights. Support Data Analysis and Reporting: Employees use Copilot to structure performance metrics, track progress against key indicators, and generate reports that inform decision-making. **These functionalities save time, improve comprehensiveness, and can help ensure that critical details are captured.**

Pilot Secteur des programmes IA cognitive et générative