AI GOVERNANCE DOMAINS
Domain 1: Governance, value generation, and ethical outcomes from artificial intelligence systems
Description: The governing body should approve artificial intelligence system value generation objectives (i.e., purpose) that support the organisation's purpose in line with the organisation's values and the natural environment, social and economic context within which it operates.
Domain 2: Components of AI governance, risk management, and compliance frameworks
Description: The governing body should establish an artificial intelligence governance framework, encompassing risk management, compliance management, and post-market monitoring systems. This ensures that artificial intelligence systems perform effectively, adhere to responsible stewardship, and uphold ethical behavior.
Domain 3: AI governance scope: purpose, type, functionality, benefits, risks, role
Description: The governing body should ensure that the artificial intelligence system's purpose is clearly defined and aligned with the organisational purposes. This artificial intelligence system's purpose should define the system’s intentions towards the natural environment, society and the organisation’s stakeholders.
Domain 4: Principles for the governance of artificial intelligence systems
Description: The governing body should ensure that the artificial intelligence system's principles are clearly defined and aligned with those of the organisation.
Domain 5: Organisational values that impact the deployment of artificial intelligence systems
Description: The governing body should ensure that the organisation's values are clearly defined. The governing body shall demonstrate its accountability for the artificial intelligence system's lawfulness, trustworthiness, fairness, integrity, effectiveness, efficiency, resilience, explainability, and acceptable use to the stakeholders and hold to account the operators to whom it has delegated. It shall establish an accountability framework for developers, providers, and deployers and ensure all regulatory compliance and data breach reporting obligations are fulfilled.
Domain 6: Strategic importance and AI strategy development
Description: The governing body shall direct and engage with the artificial intelligence system strategy, following the value generation model, to achieve the artificial intelligence system purpose, fulfil its regulatory compliance obligations, and enable data subject rights.
Domain 7: Artificial intelligence system and data sourcing strategies and suppliers in the AI value chain
Description: The governing body should ensure AI acquisitions are made for valid reasons, based on appropriate and ongoing analysis, with clear and transparent decision-making..
Domain 8: Legal and regulatory compliance obligations for artificial intelligence systems
Description: The governing body should regularly evaluate the extent to which the artificial intelligence system satisfies obligations (regulatory, legislation, common law, contractual), internal policies, standards, professional guidelines, and public policy statements.
Domain 9: Key artificial intelligence system management, process, and internal control domains
Description: The governing body shall oversee the artificial intelligence system’s performance (concerning the people, process, technology, and data) to ensure that it meets the governing body’s intentions. and expectations of the artificial intelligence system, its ethical behaviour, and its compliance obligations to ensure the artificial intelligence system's purpose and strategic outcomes are achieved in the intended and required manner.
Domain 10: Governance of risk in deployed artificial intelligence systems
Description: The governing body should ensure the effect of uncertainty on the artificial intelligence system's purpose and associated strategic outcomes is analysed, measured, and evaluated.
Domain 11: Social Responsibility and stakeholder engagement
Description: The governing body shall ensure that artificial intelligence system-related decisions and activities are transparent and aligned with broader societal expectations.
Domain 12: AI Viability and Performance Over Time
Description: The governing body should ensure that the artificial intelligence system remains viable (concerning broader social, economic, and environmental goals), and performs as expected over time, without compromising the ability to meet the needs of current and future stakeholders to meet their needs.
Domain 13: Post-market monitoring, conformance, and reporting to the authorities
Description: The governing body should log the artificial intelligence system's post-market operation, and monitor its conformance, instances of misuse, serious incidents and malfunctions, and when necessary, report non-conformance to the competent authority.
Who Should Attend: This course is designed for those involved in or responsible for AI governance in their organisation, such as senior managers, controllers, processors, providers, importers, distributors, users, operators, data protection officers, compliance officers and authorised representatives.
This three-day virtual course is available 24 hours. The course ends with a short exam of fifty questions. This is necessary to confirm knowledge transfer to the attendee. Once your course registration is confirmed, you will be able to proceed to the course content and begin.
A full refund is available if you are not satisfied with the course. In such circumstances, the purchaser will be entitled to a full refund of the course fee, or the course fee can be credited towards a future course, at the purchaser’s choice. Any repayment will be by the same method as the payment. The organiser will not be responsible for any loss or expenses incurred by the participant or purchaser, howsoever arising.
Payment is required on registration using an electronic payment method.
