




Training Course
GRAD 4 – AI Regulatory Landscape for Boards: Masterclass
As territories around the world are introducing AI legislation, e.g. the EU AI Act, this masterclass covers the essential responsibilities that the secretariat and Board have around compliance of AI. We examine the AI legislative horizon and what needs to be in place for operational AI governance and for boardroom oversight.
Furthermore, it will address how AI requires the co-ordination of Legal, Risk, and Ethics. If not properly managed, these matters will slow down AI deployments. Learn how to ensure there is co-ordinated effort to manage AI across these critical functions, to ensure AI deployments are a success.

Training Course
GRAD 4 – AI Regulatory Landscape for Boards: Masterclass
As territories around the world are introducing AI legislation, e.g. the EU AI Act, this masterclass covers the essential responsibilities that the secretariat and Board have around compliance of AI. We examine the AI legislative horizon and what needs to be in place for operational AI governance and for boardroom oversight.
Furthermore, it will address how AI requires the co-ordination of Legal, Risk, and Ethics. If not properly managed, these matters will slow down AI deployments. Learn how to ensure there is co-ordinated effort to manage AI across these critical functions, to ensure AI deployments are a success.

Training Course
GRAD 4 – AI Regulatory Landscape for Boards: Masterclass
As territories around the world are introducing AI legislation, e.g. the EU AI Act, this masterclass covers the essential responsibilities that the secretariat and Board have around compliance of AI. We examine the AI legislative horizon and what needs to be in place for operational AI governance and for boardroom oversight.
Furthermore, it will address how AI requires the co-ordination of Legal, Risk, and Ethics. If not properly managed, these matters will slow down AI deployments. Learn how to ensure there is co-ordinated effort to manage AI across these critical functions, to ensure AI deployments are a success.
