Lecturers
Gaia Gambarelli, AI Education Expert & Instructional Designer
Ivan Gentile, Senior Data Scientist
Target Audience
Entrepreneurs, CEOs, managers, compliance and legal officers, Data Protection Officers (DPOs), innovation managers, HR directors, sustainability managers, consultants, and all professionals involved in the governance and strategic adoption of AI.
Overview
An intensive one-day training designed to address the ethical, regulatory, and organizational challenges of adopting Artificial Intelligence within organizations. With a strong focus on real ethical dilemmas and corporate case studies, participants will develop the critical skills needed to recognize, analyze, and address the most complex ethical issues related to AI.
From understanding the EU AI Act to managing algorithmic bias, from decision transparency to building an operational governance framework, each concept is grounded in real-world scenarios that stimulate reflection and discussion, making the training immediately applicable in organizational contexts.
Prerequisites
No specific technical prerequisites are required. A basic understanding of Artificial Intelligence and its areas of application may be helpful.
What You Will Gain
- Operational understanding of the EU AI Act: risk classification, obligations, and timelines for companies
- Ability to identify and mitigate algorithmic bias in organizational decision-making processes
- Tools for transparency and explainability of algorithmic decisions (XAI)
- Skills to conduct an AI impact assessment (AIIA/FRIA)
- A custom AI governance framework tailored to your organization
- Strategies to communicate AI effectively to employees, customers, regulators, and stakeholders
Program
9:30 AM – Registration and course introduction
10:00 – 11:30 – Session 1:
AI Ethics – fairness, transparency, accountability.
The EU AI Act: obligations, risk classification, and implications for businesses.
11:30 – 13:00 – Session 2:
Algorithmic bias – how it arises, how it is measured, and how it can be mitigated.
Transparency and explainability (XAI).
Data governance in the era of LLMs.
13:00 – 14:00 – Networking lunch (included in the registration fee)
14:00 – 16:00 – Session 3:
Organizational models for AI governance.
Impact Assessment (AIIA/FRIA).
Responsible AI: checklists, audits, and continuous monitoring.
16:00 – 17:30 – Session 4:
Workshop – Building an AI governance framework for your organization.
Stakeholder engagement and future trends.
At the end of the masterclass, participants will receive a certificate of attendance.
Registration Fee
The registration fee for the masterclass is €400 per person.
For Foundation members, the price is €200 per person.
For IFAB affiliates, the price is €300 per person.
Prices are exclusive of VAT (22%).
For IFAB Members, 2 free passes per year are valid for all 2026 masterclasses (the 2 passes apply to the entire program, not to each individual masterclass).
For all categories (Standard, Members, Affiliates), for every 4 participants from the same organization registered for a single masterclass, the 5th participant attends free of charge.
Registration deadline: August 31, 2026.
Registration Process
After completing the form at the bottom of the page, you will receive an offer document by email to fill in and sign in order to finalize your registration.
Payment must be made via bank transfer after the invoice has been issued.