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Malta Microsoft AI User Group (MMAUG)

Community Governance and Operational Process

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This repository contains the public governance and operational process for the Malta Microsoft AI User Group (MMAUG).

You can download a copy of this Community Governance and Operational Process by clicking here.

Read the community Code of Conduct here: https://maltamsaiusergroup.github.io/maltamsaiusergroup/code-of-conduct.html

1. Purpose of the Community

The Malta Microsoft AI User Group (MMAUG) is a technology community dedicated to advancing knowledge, collaboration, and practical skills in Microsoft AI technologies, cloud infrastructure, DevOps, intelligent systems, and open-source technologies.

The community exists to:

1.1 Community Context and AI Scope

Note: The community does not deploy AI systems into real-world decision-making environments.

2. Community Governance Structure

The community operates through a structured leadership model to ensure continuity, transparency, and effective operations.

2.1 Leadership Roles

The MMAUG leadership structure includes:

Community Lead

The Community Lead provides strategic direction and oversight for the entire community.

Responsibilities include:

Co-Leads / Organizers

Co-leads assist with the operational execution of community activities.

Responsibilities include:

Technical Program Lead

Responsible for maintaining the quality and relevance of technical sessions.

Responsibilities include:

Community Operations Lead

Responsible for logistics and operational coordination.

Responsibilities include:

3. Leadership Tenure Policy

To encourage fresh ideas, leadership development, and community sustainability, MMAUG implements a rotational fixed-term leadership tenure system.

3.1 Community Lead Tenure

The Community Lead serves a tenure of six (6) months.

At the end of the tenure period:

3.2 Co-Lead and Organizer Tenure

Co-Leads and Organizers typically serve a 12-month tenure, subject to periodic review.

Their continuation in leadership roles depends on:

3.3 Leadership Rotation

Leadership rotation ensures:

3.4 Leadership Removal Conditions

To maintain accountability, professionalism, and operational efficiency within the Malta Microsoft AI User Group (MMAUG), leadership roles are subject to defined removal conditions.

A member of the leadership team may be removed from their role if any of the following conditions are met.

3.4.1 Non-Participation in Leadership Activities

3.4.2 Absence from Leadership Meetings

3.4.3 Breach of Code of Conduct

3.4.4 Misrepresentation of the Community

3.4.5 Failure to Fulfill Assigned Responsibilities

3.4.6 Removal Process

The removal process follows a structured and fair approach.

Step 1 - Review

The leadership team reviews the situation and documents the concern.

Step 2 - Notification

The affected leader is formally notified and given an opportunity to respond or provide clarification.

Step 3 - Decision

A decision is made by the leadership team based on:

Step 4 - Transition

If removal is confirmed:

3.4.7 Reinstatement

In some cases, a removed leader may be reconsidered for future leadership roles if:

4. Volunteer Program

Volunteers play an essential role in the success of the community.

Typical volunteer responsibilities include:

Volunteers are expected to demonstrate:

5. Screening Process for Leadership Promotion

Active volunteers and community members may be considered for promotion to leadership roles through a structured evaluation process.

5.1 Eligibility Criteria

To be eligible for leadership consideration, a volunteer must:

5.2 Evaluation Criteria

Candidates are evaluated based on:

  1. Community contribution.
  2. Technical expertise.
  3. Leadership potential.
  4. Communication and collaboration skills.
  5. Commitment to community values.
  6. Awareness of responsible and ethical AI practices.

5.3 Screening Process

The screening process follows these steps.

Step 1 - Nomination

Candidates may be nominated through:

Step 2 - Leadership Review

The current leadership team reviews the candidate’s contributions and engagement history.

Step 3 - Interview or Discussion

The candidate may participate in a short leadership discussion to assess:

Step 4 - Decision

The leadership team collectively decides whether to:

6. Community Recommendation Letter Policy

Recommendation letters from the Malta Microsoft AI User Group are issued to support members and volunteers for:

Because these letters represent the reputation of the community, they are issued under strict criteria.

6.1 Eligibility Requirements

A member or volunteer may request a recommendation letter if they:

Examples of acceptable contributions include:

6.2 Minimum Contribution Threshold

Recommendation letters are generally issued when a member has completed at least two of the following:

6.3 Approval Process

The recommendation letter request follows the process below.

  1. Formal Request Submission

The member submits a request to the leadership team with:

  1. Contribution Review

Leadership reviews the member’s contributions and engagement history.

  1. Leadership Approval

A minimum of two leadership team members must approve the request before issuing the letter.

  1. Issuance

The letter is issued on behalf of the community.

7. Code of Conduct

All members, volunteers, and leaders must adhere to the community’s professional code of conduct.

Participants are expected to:

The community maintains zero tolerance for harassment, discrimination, or abusive behavior.

Violations may lead to:

Responsible AI Conduct

8. Community Event Process

Events follow a structured lifecycle.

Planning Phase

Promotion Phase

Execution Phase

Post-Event Phase

9. Community Growth Strategy

The Malta Microsoft AI User Group will grow through:

10. AI Governance and Continual Improvement

10.1 Purpose

The Malta Microsoft AI User Group (MMAUG) recognises that the responsible discussion, demonstration, and promotion of artificial intelligence technologies requires ongoing governance, reflection, and improvement.

This section defines how AI-related governance practices are reviewed, improved, and adapted over time to ensure continued alignment with ethical, professional, and community values.

The community maintains a structured but lightweight approach to reviewing AI-related feedback and concerns arising from its activities.

This includes:

All such feedback or incidents will be:

10.3 Updating Governance Policies and Processes

Where reviews identify gaps, risks, or opportunities for improvement, the leadership team may:

Changes will be:

10.4 Continual Improvement Approach

MMAUG is committed to continual improvement of its AI governance practices through: