After adding ISO 42001:2023 (AIMS) also, as one of my Training Deliveries, I found that I should share my understanding on what pre-requisites the participants in the AIMS training courses should consider acquiring, before starting their AIMS Training journey.
Basic Facts on ISO 42001:2023
It is an ISO Management System Standard (MSS).
It doesn’t teach you the basics of Artificial Intelligence (AI) at all.
It is NOT a substitute for learning AI basics, even for non-techies.
Being a strong AI techie doesn’t guarantee ease with ISO 42001 implementation/audit if it's your first ISO MSS exposure.
If it's your first ISO MSS training, you should first understand the fundamentals of ISO MSSs.
Need to Become Familiar with AI Concepts & ISO MSSs
ISO 42001:2023 is an AIMS standard, not an AI standard.
It does not teach Python or any AI programming, despite AI relevance.
Combines technical AI knowledge (minimally) and ISO MSS principles.
The Standard Closest to ISO 42001:2023
ISO 27001:2022 (ISMS) is closest in content design/structure.
Unlike ISO 27002:2023 in ISMS, ISO 42001 has Annex B: Implementation Guidance for AI Controls.
Relevance of ISO 9001:2015
ISO 9001 is the “mother” of all ISO MSSs (Quality Management).
Familiarity helps in appreciating the MSS ecosystem, especially HLS (Harmonized Structure – Clauses 1 to 10).
However, ISO 9001 doesn’t directly aid in understanding ISO 42001’s intent or content, especially Annexes A & B.
Foundational Understanding of AI
Participants should understand:
Basic AI Concepts: Machine learning, deep learning, NLP, computer vision.
Types of AI: Narrow AI, General AI, Superintelligence.
AI Lifecycle: Data collection → model training → validation → deployment → monitoring.
Use Cases: AI in business, healthcare, finance, industry.
Suggested Courses: Coursera, LinkedIn Learning, Google’s AI for Everyone.
Understanding Risk Management (Fulcrum of ISO 42001)
ISO 31000:2018 offers general risk management framework.
Familiarity with ISO 27001:2022 (or 2013) risk management is highly beneficial for ISO 42001.
Legal & Regulatory Awareness
Participants should be aware of:
GDPR, DPDPA (India) for privacy.
EU AI Act – Know the risk categories.
Other country-specific privacy laws.
AI ethics: Fairness, accountability, transparency, non-discrimination.
Ethical & Societal Implications
Understand algorithmic bias, discrimination risks.
Refer OECD or UNESCO guidelines on AI ethics.
Know economic and workforce implications of AI.
Technical Awareness (Optional but Beneficial)
Basic knowledge of data structures and AI model processes.
Awareness of AI programming languages (Python, R).
Understand AI model interpretability and explainability.
Soft Skills – For Auditor
Analytical Skills: Interpret AI metrics/data.
Communication: Discuss risks with diverse stakeholders.
Nonconformity Skills: Identify issues, evaluate RCAs and corrective actions.
Soft Skills – For Implementers
Must understand ISO 42001 in more depth than auditors.
Manage diverse AI teams and coordinate implementation.
Must effectively brief top management and secure buy-in.
Career Benefits of AIMS Audit/Implementation
AI may disrupt your job role – familiarity gives future-proofing.
As an Implementer: Interface across levels/functions, manage audits.
As an Auditor: Validate implementation evidence.
AIMS has deep technical/detail-oriented content – mastery builds career strength.
In conclusion, preparing effectively for ISO 42001:2023 training is not just about familiarizing oneself with the clauses—it’s about embracing the multidisciplinary essence of Artificial Intelligence Management Systems. A solid grounding in ISO MSS structures, awareness of ethical and legal dimensions, risk-based thinking, and the ability to engage with AI in managerial or technical contexts will significantly enhance the learning experience. Whether you aim to become an auditor, implementer, or strategic advisor, these preparatory steps will ensure your investment in ISO 42001 training translates into lasting professional value and organizational impact.
