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Technology & AI · Set 11 of 13

Qayyem Cards

Your Guide to Responsible AI Governance

I am Qayyem, and I know that details are what separate intention from execution. Each card here is a cornerstone of a trustworthy AI management system and a step towards an organisation that innovates responsibly.

15cards
2min read

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  1. Qayyem Cards1

    Don't start from scratch.

    Use ISO/IEC 42001:2023 as your roadmap for managing risk, meeting compliance and building responsibility into your AI work.

  2. Qayyem Cards2

    Draw your boundaries clearly.

    Define exactly which systems, processes and departments your AI management system (AIMS) covers, so effort stays focused and effective.

  3. Qayyem Cards3

    Governance is a team effort.

    Identify stakeholders inside and outside the organisation, understand their needs and involve them; openness and participation build trust.

  4. Qayyem Cards4

    Responsibility starts at the top.

    When leaders set the vision, provide resources and take an active part, a culture of responsibility takes root everywhere.

  5. Qayyem Cards5

    Put your policy in writing.

    Set an AI policy approved by top management that states your principles, commits to requirements and improvement, and anchors every objective.

  6. Qayyem Cards6

    Know who owns what.

    Assign each part of AI governance clearly, from the board to development teams and end users, so nothing falls through the gaps.

  7. Qayyem Cards7

    Look beyond the usual risks.

    Use a structured method to spot AI-specific risks such as algorithmic bias, adversarial attacks and ethical risks.

  8. Qayyem Cards8

    Turn your assessment into a plan.

    For every unacceptable risk, write a treatment plan with actions, controls (from Annex A and elsewhere), owners and deadlines.

  9. Qayyem Cards9

    Think of people before launch.

    Before releasing any AI system, assess its likely impact on human rights, fairness, privacy and safety.

  10. Qayyem Cards10

    Carry responsibility through every stage.

    From planning and data collection to design, testing, deployment, monitoring and retirement, make responsibility part of every step.

  11. Qayyem Cards11

    Keep a clear, traceable record.

    Use version control for data, models and code, and keep your system documents in order to support audits and accountability.

  12. Qayyem Cards12

    Train your team in ethics.

    Technical skill alone is not enough; train teams to spot and address ethical risks, bias and unfairness.

  13. Qayyem Cards13

    Keep leaders in the loop.

    Have top management review the AI management system regularly, check it still fits and works, and decide what to improve.

  14. Qayyem Cards14

    Every slip is a chance to improve.

    When something departs from requirements, don't just fix it; find the root cause, prevent it recurring and learn from it.

  15. Qayyem Cards15

    Your security depends on your partners.

    You often rely on other parties' data, models and platforms; assess their risks carefully and keep monitoring them.

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