ΠΕΡΙΓΡΑΦΗ

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.

ΣΚΟΠΟΣ ΣΕΜΙΝΑΡΙΟΥ

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

ΣΕ ΠΟΙΟΥΣ ΑΠΕΥΘΥΝΕΤΑΙ

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

ΠΕΡΙΣΣΟΤΕΡΕΣ ΠΛΗΡΟΦΟΡΙΕΣ

Trainer

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.

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

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.