AI Leadership Coaching Assistant for Public Servants

Education & Learning

What it collects

Operational data

Anonymized data

Leadership learning modules form the primary data source for the system. These are structured educational materials, not personal data about individual employees.

GC AI Register — AI Leadership Coach (Marshall Goldsmith)

About behaviour

Anonymized data

User inputs, reflection responses, and conversation turns provided during coaching sessions. The register states no personal information is involved, so this data is treated as non-identifying interaction data.

Run by: Canada School of Public Service (CSPS)
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

Education & Learning

This tool is an AI-powered chatbot that provides leadership coaching and reflection exercises to Government of Canada employees. It is based on leadership learning modules and supports professional development through guided conversations. The system is still in development, and users are informed that they are interacting with an AI. The vendor, Marshall Goldsmith, supplies the underlying coaching methodology and technology.

What it collects and what happens to it

Data taken in

Operational data

Anonymized data

Leadership learning modules form the primary data source for the system. These are structured educational materials, not personal data about individual employees.

GC AI Register — AI Leadership Coach (Marshall Goldsmith)

About behaviour

Anonymized data

User inputs, reflection responses, and conversation turns provided during coaching sessions. The register states no personal information is involved, so this data is treated as non-identifying interaction data.

Processing

Language Models

An AI language model powers the coaching chatbot, enabling it to interpret user inputs and generate contextually appropriate leadership coaching dialogue.

What it does

Understanding (Semantic AI)

Human decides

The chatbot understands user inputs about leadership challenges and reflection prompts, grounding responses in leadership learning modules.

Creating (Generative AI)

Human decides

The coaching chatbot generates conversational responses, reflection prompts, and guidance text tailored to the user's leadership development context.

Outputs

Generated content

Anonymized data

The system generates coaching responses, reflection prompts, and leadership guidance text tailored to the employee's inputs within the session.

Run by

Canada School of Public Service (CSPS)

The Canada School of Public Service is the deploying department responsible for this AI leadership coaching tool, offered to Government of Canada employees.

GC AI Register — AI Leadership Coach (Marshall Goldsmith)

Built by

Marshall Goldsmith

Marshall Goldsmith is the vendor that developed the AI leadership coaching technology and methodology underlying this tool.

GC AI Register — AI Leadership Coach (Marshall Goldsmith)

Kept for

Not stated by the Helpful Places.

Shared with

Available to the accountable organization

The Canada School of Public Service, as the deploying organization, has access to system outputs and usage data for program management purposes. The register states no personal information is involved.

Not available to me

As the register indicates no personal information is collected, individual users do not have a personal data record to access. Interaction logs, if any, are not described as accessible to individual employees.

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.

What you can do

Ask about this system

Questions go to the Helpful Places, not the vendor.

Your rights

Right to Be Informed of AI UseUsers are informed that they are interacting with an AI system. The register confirms AI use is disclosed to users prior to or during engagement with the tool.
Right to Algorithmic TransparencyAs a Government of Canada AI system listed on the public register, information about how the tool operates is made available through the AI Register entry. Employees may consult the Canada School of Public Service for further details about the system's logic and data sources.

Risks and safeguards

Psychological harmA coaching chatbot interacting with employees on leadership and professional development topics could generate responses that feel critical, judgmental, or discouraging.Safeguard: the system is grounded in established leadership learning modules from a recognized methodology (Marshall Goldsmith), and users are informed of AI use. The system is still in development, providing an opportunity to build in safeguards such as escalation paths to human coaches and content boundaries around sensitive personal topics.