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AI Risk Mitigation in Regulated Entities
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€220
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Highlights
Live Online
5 CPD Units | 5 Hours
Course Overview
Artificial Intelligence is rapidly being adopted across regulated industries, offering significant opportunities while introducing new and complex risk exposures. For boards, executives, and GRC professionals, the challenge is no longer whether to use AI, but how to govern it responsibly, safely, and in line with regulatory expectations.
This programme focuses on AI risk mitigation in regulated entities, providing participants with a practical understanding of the key risks associated with AI systems, including bias, lack of transparency, data protection issues, and operational misuse. The course examines how these risks intersect with current regulatory frameworks such as the EU AI Act, GDPR, and DORA, and what this means in practice for organisational oversight and accountability.
Through real-world case studies, governance frameworks, and board-level scenarios, participants will learn how to assess AI risks, implement appropriate controls, and support informed executive decision-making in regulated environments.
Training Objectives
By the end of the course, participants will:
Understand the key risks associated with the use of Artificial Intelligence in regulated entities
Identify how AI-related risks impact governance, compliance, and executive accountability
Interpret the implications of the EU AI Act, GDPR, and DORA for AI-driven processes
Assess AI use cases from a risk-based and regulatory perspective
Apply practical frameworks for AI risk mitigation and organisational controls
Define clear roles and responsibilities for AI oversight within an organisation
Support informed board-level and executive decision-making regarding AI initiatives
Recognise best practices for responsible and safe AI adoption in regulated environments
Training Outline
Introduction to AI Risk in Regulated Entities
Purpose and objectives of the programme
Why AI represents a new category of risk for regulated organisations
Executive and board-level responsibilities in AI oversight
Understanding Artificial Intelligence and Its Risk Profile
Overview of Artificial Intelligence and Generative AI
What AI can and cannot do: limitations and misconceptions
Key AI risk categories (bias, hallucinations, opacity, misuse, over-reliance)
Regulatory Landscape and AI Governance Expectations
Overview of the EU Artificial Intelligence Act (risk-based approach)
GDPR implications for AI systems and data processing
DORA and operational resilience considerations
Interaction between regulation, governance, and accountability
AI Risk Mitigation and Governance Frameworks
Principles of Responsible AI in regulated environments
Organisational controls for AI risk mitigation
Roles, responsibilities, and accountability (RACI approach)
Policies, documentation, and approval workflows for AI use
Practical Case Studies and Board-Level Scenarios
Case study analysis: AI use cases in financial and regulated sectors
Identifying risks, regulatory exposure, and governance gaps
Executive decision-making: conditions for approval and deployment
Practical Exercise: AI Risk Assessment and Mitigation
Group-based exercise on an AI use case
Mapping risks to controls and governance actions
Board-level discussion and lessons learned
Monitoring, Oversight, and Continuous Improvement
Ongoing monitoring of AI risks and controls
Governance maturity and continuous improvement mindset
Preparing organisations for future AI developments
Who Should Attend
This programme is designed for professionals involved in governance, risk, compliance, and decision-making roles across regulated and semi-regulated environments, including:
Board members, senior executives, and decision-makers
Professionals involved in Governance, Risk, and Compliance (GRC) functions
Risk managers, compliance officers, and internal control professionals
Professionals working in regulated industries, including financial services, professional services, and advisory roles
Managers and team leaders responsible for overseeing or approving AI-enabled initiatives
Professionals seeking to build a structured understanding of AI risks and governance, regardless of prior technical background
Training Style
The programme is delivered through a combination of focused lectures, real-world case studies, and interactive board-level discussions. Emphasis is placed on practical application, executive decision-making, and risk-based analysis, enabling participants to translate regulatory and governance concepts into actionable organisational practices.
CPD Recognition
This programme may be approved for up to 5 CPD units in Financial Regulation. Eligibility criteria and CPD Units are verified directly by your association, regulator or other bodies which you hold membership.
In-house Training
For groups within the same organisation, this course may be customized to meet any specific needs and delivered in-house.
Facilitators
Gionata Ponti
Gionata Ponti is a Business & Technology Transformation professional with over 9 years of experience working at the intersection of technology, operations, and business strategy, primarily within regulated and complex environments such as industrial automation, manufacturing, and the pharmaceutical sector. Gionata currently holds a leadership role as Software Team Leader and Project Manager, acting as a client-facing advisor and coordinating cross-functional, international teams. Gionata holds the Swiss Federal Diploma in AI Business Specialist, with a specific focus on AI governance, risk management, compliance, and the responsible adoption of AI in business contexts. Gionata interests lies in supporting organizations in understanding how AI can be introduced and governed in a structured, auditable, and risk-aware manner, particularly in regulated or high-accountability environments.