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Artificial Intelligence

Governing AI with Confidence – ISO/IEC 42001 for Executives

Course Dates

Learn how ISO/IEC 42001 helps organizations govern artificial intelligence (AI) through accountability, risk and impact assessment, human oversight, data governance and continual improvement.

AI is already part of how organizations make decisions, build products and work with suppliers. ISO/IEC 42001 provides a structured framework for governing, integrating and managing AI across the business. This briefing explains what the standard requires, how certification works and the leadership responsibilities needed to establish effective AI governance. Participants leave with a clear understanding of where their organization stands and realistic next steps.

Duration

Two hours

Key Takeaways

  • ISO/IEC 42001 provides a single governance framework for AI across the organization.
  • Effective AI governance requires visibility into AI systems and clear ownership of each system.
  • AI systems should undergo risk and impact assessment before deployment and significant changes to identify harms, affected parties and appropriate safeguards.
  • The level of human oversight should match the impact of the AI system and the potential consequences of its decisions.
  • Effective AI governance depends on controlled, documented and accountable data management.
  • Every stage of the AI life cycle should have defined ownership and documented accountability.
  • AI governance is an ongoing process that requires monitoring, review and continual improvement over time.

 

Business outcomes

After the briefing, participants will be better equipped to:

  • Judge urgency – Assess whether AI governance warrants immediate action based on the organization's AI use, risk profile and business objectives.
  • Communicate tangible risk – Understand how weaknesses in AI governance can create strategic, legal, operational and reputational risk.
  • Respond to commercial pressure – Recognize how AI governance requirements increasingly flow through procurement, contracts and supplier questionnaires and how to respond effectively.
  • Set up workable governance – Explore practical governance structures, roles and responsibilities that support effective AI oversight.
  • Make human oversight real – Understand how different forms of human oversight can be applied based on an AI system's impact and use case.
  • Build a road map – Understand the five phases of implementation, the key cost drivers and the factors that commonly delay readiness.
  • Check supplier credentials – Evaluate a supplier’s ISO/IEC 42001 certificate, including its scope statement and the accreditation of the issuing body.
  • Choose a next step – Understand the factors that may influence the choice between awareness training, a gap analysis, a pilot scope or a certification road map.

Target Audience

This briefing is for business professionals and decision-makers who are responsible for, or affected by, how their organization uses AI: 

  • Executives and senior management who are accountable for AI strategy, risk appetite and resources
  • Risk, compliance, legal and data protection leaders who will own or coordinate the AI management system
  • Quality and information security managers who already run ISO 9001 or ISO/IEC 27001 and want to extend those systems to AI
  • Business unit and product leaders who deploy AI in operations or in products the organization sells
  • Procurement and supplier management professionals who evaluate AI-enabled products and supplier assurances
  • Program and transformation leads who are preparing a gap analysis, pilot or certification road map

Prerequisites

No technical AI expertise is required. The session provides a management-level overview rather than a clause-by-clause walkthrough.

Examination

This briefing does not include an examination, and no certificate is issued.

Further Information

For online sessions, all materials are offered digitally. For in-person courses, all materials are offered digitally and may be supplemented with hard copies. Learners must supply copies of any relevant standards.

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GENERAL INFORMATION
Training ID:
Location:Onsite-Training
Date:2/7 -2/10/2024
Time:09:00 AM - 05:00 PM
Language:English (EN)
Examination Fee:$Xx per participant
Online Price:#Xx per participant, plus vat
Services Provided by:UL
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Cancellation Policy

Contractual cancellation right

The registration can be cancelled free of charge 30 days before the training date, after which the following rules apply: 

  • 30 days – 14 days before the start of the training: 50% of the participation fee
  • 14 days or less before the start of the training: 100% of the participation fee
  • This shall not apply when a substitute attendee is named. This is possible until the registration at the beginning of the event.

The relevant cut-off date for the calculation of the cancellation period is the first training day of a bindingly booked training.

The cancellation must be declared in writing and sent by email to the training provider.

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The participant may, after receiving the registration confirmation, name a substitute in writing prior to the beginning of the seminar.

This change of reservation is free of charge; seminars spanning several days may be transferred only in their entirety, i.e. attended by one substitute.

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The training provider will notify the participant of the cancellation and of the reason with-out undue delay and will attempt to change the participant's reservation, provided that he agrees to a different date or event location. Otherwise, the full amount of any already paid attendance fee will be refunded in the case of a cancellation; no further claims exist, particularly no refund of travel and/or accommodation cost.