AI-Assisted Analysis of Committee Member Surveys
Research & Development
What it collects
- Survey responses submitted by committee members, reflecting their opinions, assessments, and feedback on SSHRC programs or processes.
- Run by
- Social Sciences and Humanities Research Council of Canada (SSHRC)
- Where
- No fixed location
- Kept
- Not stated by the Helpful Places.
- Shared with
- Accountable organization
What it is for
This system uses AI to analyze large volumes of responses from surveys completed by committee members at the Social Sciences and Humanities Research Council of Canada (SSHRC). It is used by Government of Canada employees to process survey data more efficiently. The system was developed by an external vendor, Softchoice Corporation, and is currently in production.
What it collects and what happens to it
Data taken in
- Survey responses submitted by committee members, reflecting their opinions, assessments, and feedback on SSHRC programs or processes.
Processing
- Processes and classifies large volumes of survey text and structured responses to surface patterns, themes, or summary statistics from committee member feedback.
What it does
- The system analyzes and synthesizes high volumes of survey responses, producing classifications or summaries that GC employees review and act upon.
Outputs
- Aggregated analysis and summaries of survey responses provided to GC employees for review and decision-making; individual survey data is not attributed to specific respondents in outputs.
Run by
- SSHRC is the federal granting agency that deploys this AI system internally to analyze committee member survey responses submitted by Government of Canada employees.
Built by
- Softchoice Corporation is the external vendor that developed the survey analysis AI system on behalf of SSHRC.
Kept for
Not stated by the Helpful Places.
Shared with
- Outputs of the analysis are available to SSHRC employees (GC employees) who use the results to inform program decisions. There is no indication of third-party data sharing.
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 — Survey analysis (2526-SSHRC-CRSH-001)Social Sciences and Humanities Research Council of Canada, AI Register entry 2526-SSHRC-CRSH-001.
- AI registerGovernment of Canada AI Register — Survey analysis
- AI registerGovernment of Canada AI Register — Survey analysis
- Register entryPublished by the Helpful Places. Reference 406b307b. 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 TransparencySSHRC has published this AI system on the Government of Canada's AI and Algorithmic Impact Assessment Register, providing public transparency about the system's purpose and use. For more information, consult the Government of Canada's AI register at open.canada.ca.
Risks and safeguards
- Reputational harmAI-generated analysis of survey responses could mischaracterize or misclassify committee member feedback, leading to unfair or inaccurate conclusions about individuals or groups.Safeguard: The system is used by GC employees who are expected to review AI outputs before acting on them (human-in-the-loop), and the register entry indicates primary users are GC employees rather than automated downstream systems.