A New Era of AI and High-Risk AI Systems under the EU AI Act

PECB Conference Workshop – What to Expect

Participants will explore the key provisions of the EU AI Act and its implications for organizations developing and deploying high-risk AI systems. From risk assessment and mitigation to data governance and transparency measures, attendees will gain a comprehensive understanding of their obligations under the AI Act and learn practical strategies for compliance.

By engaging with experts and industry peers, workshop participants will have the opportunity to exchange insights, share best practices, and navigate the complexities of AI regulation in the European context. Whether you’re a developer, regulator, or end-user of AI technologies, this workshop will equip you with the knowledge and tools needed to thrive in the new era of AI regulation.

To be part of these interactive workshops, and learn more about EU AI Act, join the PECB Conference 2024, this October in Amsterdam!

A New Era of AI and High-Risk AI Systems under the EU AI Act

Artificial intelligence (AI) has the potential to transform industries, drive innovation, and change the way we live and work. However, the rapid advancement of AI technologies has also raised concerns about their ethical and societal implications.

Understanding the EU AI Act

The EU AI Act represents a significant milestone in AI regulation, aiming to establish a harmonized framework for the development, deployment, and use of AI systems within the European Union.  This Act categorizes AI systems, based on their potential impact on safety, fundamental rights, and societal values into four risk levels:

  1. Unacceptable risk
  2. High risk
  3. Limited risk
  4. Minimal risk

Addressing Different Implications

The EU AI Act obligations and principles can help organizations in various ways:

  • High-Risk AI Systems: The EU AI Act focuses extensively on high-risk AI systems, such as those used in critical sectors like healthcare, transportation, and law enforcement. By imposing these obligations, the EU aims to enhance accountability, transparency, and safety in the deployment of AI technologies.
  • Ethical and Societal Implications: Recognizing the ethical and societal implications of AI, the EU AI Act emphasizes the importance of ethical AI design and development. Therefore, the Act promotes AI systems that contribute positively to societal well-being, sustainability, and inclusivity.
  • Data Protection and Privacy: Data protection and privacy are central to the EU AI Act’s regulatory framework. It mandates compliance with the EU’s General Data Protection Regulation (GDPR) and requires AI developers to implement privacy-by-design principles, ensuring the lawful and ethical processing of personal data. This approach strengthens individuals’ rights and safeguards the abuse of personal information in AI applications.
  • Transparency and Accountability: These are the key pillars of the EU AI Act, fostering trust and confidence in AI systems. It requires AI developers to provide clear and understandable information about the capabilities, limitations, and potential risks of their systems.
  • Innovation and Competitiveness: The EU AI Act, also seeks to foster innovation and competitiveness in the European AI landscape. By promoting a harmonized regulatory framework across EU member states, the Act aims to create opportunities for AI developers and businesses, facilitating cross-border collaboration and investment in AI research and development.

As we can see, the EU AI Act represents a very important step in AI regulation, offering a comprehensive framework for governing AI systems across various risk levels. This legislation aims to increase accountability, transparency, and safety in AI deployment. By prioritizing ethical AI design, data protection, transparency, and innovation, the EU AI Act creates the way for responsible AI development while promoting societal well-being and competitiveness.


Join us at PECB Conferences, where global experts converge to discuss cutting-edge trends and strategies in compliance and professional development.