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13/10/2025
17/10/2025
Artificial Intelligence & Emerging Tech
Milan
This course explores the ethical challenges and opportunities emerging with the use of artificial intelligence. Participants will examine bias, accountability, transparency, and responsible innovation practices across sectors and applications.
By the end of this course, participants will be able to:
– Understand the ethical implications of AI across sectors and applications.
– Identify sources of bias, opacity, and harm in AI systems.
– Apply ethical principles to AI development and deployment.
– Engage stakeholders in conversations about AI fairness and governance.
– Build ethical review and governance structures into AI projects.
1- The Ethics of Artificial Intelligence: Key Concepts
2- Algorithmic Bias, Transparency, and Accountability
3- Ethics in AI Design and Deployment
4- Engaging Stakeholders and Building Trust in AI
5- Practical Governance and Future Considerations
AI developers, data scientists, product managers, ethicists, innovation leaders, legal/risk professionals, and executives deploying AI solutions.
Bias audits, case reviews, ethical design frameworks, stakeholder mapping, impact forecasting, and governance planning.
Participants will leave with a toolkit for managing the ethical risks of AI and creating trustworthy, inclusive, and responsible AI systems.