AI-Assisted News Summarization for Internal Media Monitoring
Inform
What it collects
- Predefined topic requirements and filter criteria provided in advance by business users, used to configure which news articles the system should retrieve and summarize.
- Publicly available online news articles sourced from the internet, containing no personal information about individuals.
- Run by
- Employment and Social Development Canada (ESDC)
- Where
- No fixed location
- Kept
- Not stated by the Helpful Places.
- Shared with
- Accountable organization
- Your copy
- You cannot see the data it holds about you. What you can do
What it is for
d@Media helps Government of Canada employees draft internal newsletters by using AI to filter and summarize publicly available news articles based on predefined topic requirements set by business users. The system processes only public news content and does not involve any personal information. Employees should be aware that the summaries are AI-generated and should review outputs before distribution.
What it collects and what happens to it
Data taken in
- Predefined topic requirements and filter criteria provided in advance by business users, used to configure which news articles the system should retrieve and summarize.
- Publicly available online news articles sourced from the internet, containing no personal information about individuals.
Processing
- Applies large language models to summarize and synthesize news articles into concise newsletter content, using both generative AI and natural language processing techniques.
What it does
- Uses generative AI to produce article summaries and draft newsletter content. Employees review and decide what to include before distribution.
- Uses natural language processing to filter and identify relevant news articles based on predefined topic requirements provided by business users.
Outputs
- AI-generated summaries of news articles and drafted newsletter content for internal GC employee distribution. No personal information is included in the output.
Run by
- Employment and Social Development Canada (ESDC) deploys and operates d@Media to support GC employees in drafting internal media monitoring newsletters.
Built by
- The Government of Canada developed d@Media internally, as indicated by the register entry listing the developer as the Government of Canada.
Kept for
Not stated by the Helpful Places.
Shared with
- The system is an internal GC tool for employees. Members of the public do not have access to the system or its outputs.
- GC employees, specifically those designated as business users and newsletter drafters within Employment and Social Development Canada, have access to the system and its outputs.
Stored
Not stated by the Helpful Places.
How to read the colours
Can it identify you?
- Anonymized data
- Data about people with the link to who is broken. Stripped of identifiers, blurred, aggregated, or noised so this system can’t reasonably tie a record back to an individual.
- Pseudonymous data
- Each person’s data is tied to a token (hash, ID, template) that lets this system recognise the same person across events, but the token itself doesn’t reveal a name. Reidentification is possible with extra information.
- Identifiable data
- The data either contains a direct identifier (name, address, account name, recognisable face or voice, plate number) or carries a token this system uses to look up legal identity during processing.
Who completes the loop?
- Human decides
- This mode suggests; a person decides what to do next. The AI is always advisory — a human is in the loop on every decision. Example: a triage tool ranks cases for a clinician who chooses which to see first.
- Human executes
- This mode decides; a person carries out the result. Example: an optimizer plans the day’s trash-collection routes, and drivers run them.
- Autonomous
- This mode decides and acts on its own. No person reviews each decision or carries out the resulting action.
Definitions from the DTPR standard. Amber is about your data, violet about who decides. The fuller the shape and the deeper the colour, the more identifying the data or the less a person is involved.
- AI registerGovernment of Canada Algorithmic Impact Assessment Register — d@Media (2526-ESDC-EDSC-012)Employment and Social Development Canada, Government of Canada AI Register, entry 2526-ESDC-EDSC-012.
- AI registerGovernment of Canada AI Register — d@Media
- AI registerGovernment of Canada AI Register — d@Media
- Register entryPublished by the Helpful Places. Reference db4821e1. This disclosure was drafted with AI assistance.Schema: ai@2026-05-06-beta
What you can do
Ask about this system
Questions go to the Helpful Places, not the vendor.
Your rights
- Right to Algorithmic TransparencyGC employees using d@Media are informed that the newsletters are AI-assisted drafts and should understand that the system uses generative AI and NLP to filter and summarize news. Information about the system is publicly disclosed through the Government of Canada AI Register.
- Right to Be Informed of AI UseThe system's AI nature is disclosed publicly through the Government of Canada AI Register. Internal users (GC employees) are expected to be aware they are working with AI-generated draft content.
Risks and safeguards
- Societal & cultural harmAI-generated summaries may introduce inaccuracies, omit important nuance, or reflect biases present in the underlying language model, potentially influencing internal understanding of public affairs.Safeguard: The system is designed to support human drafters who review outputs before distribution; employees are expected to exercise editorial judgment.