Technology & AI · Set 11 of 20
Qayyem Cards
Your Guide to Responsible AI Governance
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.
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.
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Copyright
Qayyem Cards
Metn · Technology & AI
Author: Prof. Dr. Mohamed Fawzi Elgendi
First Edition – 2026 · eBook
Published by: FAWZOOZ
London, United Kingdom
Company Registration No: 17511660
www.fawzooz.org
Content © 2026 Prof. Dr. Mohamed Fawzi Elgendi.
Publishing rights © 2026 FAWZOOZ.
This work is available under the open Fawzooz Waqf Licence. Use, development and circulation for lawful purposes are permitted, with attribution to the original creator required.
Cards for governing AI responsibly and building robust, trustworthy, ethical systems.
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.
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.
Fawzoozfawzooz.orgDraw your boundaries clearly.
Define exactly which systems, processes and departments your AI management system (AIMS) covers, so effort stays focused and effective.
Fawzoozfawzooz.orgGovernance is a team effort.
Identify stakeholders inside and outside the organisation, understand their needs and involve them; openness and participation build trust.
Fawzoozfawzooz.orgResponsibility starts at the top.
When leaders set the vision, provide resources and take an active part, a culture of responsibility takes root everywhere.
Fawzoozfawzooz.orgPut 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.
Fawzoozfawzooz.orgKnow 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.
Fawzoozfawzooz.orgLook beyond the usual risks.
Use a structured method to spot AI-specific risks such as algorithmic bias, adversarial attacks and ethical risks.
Fawzoozfawzooz.orgTurn your assessment into a plan.
For every unacceptable risk, write a treatment plan with actions, controls (from Annex A and elsewhere), owners and deadlines.
Fawzoozfawzooz.orgThink of people before launch.
Before releasing any AI system, assess its likely impact on human rights, fairness, privacy and safety.
Fawzoozfawzooz.orgCarry responsibility through every stage.
From planning and data collection to design, testing, deployment, monitoring and retirement, make responsibility part of every step.
Fawzoozfawzooz.orgKeep a clear, traceable record.
Use version control for data, models and code, and keep your system documents in order to support audits and accountability.
Fawzoozfawzooz.orgTrain your team in ethics.
Technical skill alone is not enough; train teams to spot and address ethical risks, bias and unfairness.
Fawzoozfawzooz.orgKeep leaders in the loop.
Have top management review the AI management system regularly, check it still fits and works, and decide what to improve.
Fawzoozfawzooz.orgEvery 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.
Fawzoozfawzooz.orgYour security depends on your partners.
You often rely on other parties' data, models and platforms; assess their risks carefully and keep monitoring them.
Fawzoozfawzooz.orgConclusion
Responsibility is not a burden but an investment in trust, compliance and safe innovation.