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Legal and Ethical Perspectives

Responsible AI in practice

29 sep. 2026 - 8 dec. 2026
This blended training programme teaches you how to engage with AI systems in a responsible, informed and constructive way that fits your organization
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Praktische info:

29 sep. 2026 - 8 dec. 2026
21 uur
KU leuven Campus Brussel
Engels
Doelgroep: Professionals, managers and policymakers, compliance officers, legal professionals, AI project leads or public sector staff

Inschrijven?

  • Voorwaarden: no
  • Prijs: 995€
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georganiseerd door:

AI is everywhere—but how can you deploy it responsibly within your organization? What risks should you be aware of when using or implementing AI systems? How can innovation go hand in hand with respect for fundamental rights, transparency, and accountability? And who is responsible when AI systems produce unintended consequences?

This training provides you with the conceptual tools and practical insights needed to navigate these questions. By combining ethical reflection, legal analysis, and real-world examples, the program helps you understand the implications of AI and equips you to engage with AI systems in a responsible, informed, and constructive way within your organization.

This is a blended training programme combining online learning with in-person interaction.

After completing this training, you will be able to:

  • Understand the key ethical principles relevant to the development and use of artificial intelligence
  • Recognize ethical risks and biases in AI systems and critically assess their potential impact
  • Apply a human-centered perspective when evaluating or implementing AI technologies
  • Understand the main legal frameworks and regulatory trends shaping AI governance, including emerging European regulation
  • Identify responsibilities and accountability mechanisms when AI systems are deployed in organizations
  • Reflect on the impact of AI on fundamental rights and societal values
  • Translate ethical and legal insights into practical actions within your professional or organizational context

     

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