The EU AI Regulation - EU Artificial Intelligence Act

Challenges and ethical aspects of AI in the compliance context

• Discussion of the challenges and risks associated with the use of artificial intelligence (AI) in compliance.
• Consideration of ethical aspects and protective measures when using artificial intelligence (AI) in the compliance context.

The principles of the EU AI Regulation

• Presentation of the EU AI Act on the regulation of artificial intelligence.
• The key points of the EU AI Regulation.
• When do the provisions of the EU AI Regulation apply?
• Scope of application of the EU AI Regulation.
• Supervisory authorities, sanction regulations.
• Requirements for AI expertise in the company.

Risks and opportunities when using AI applications in the company

• What are the risks for companies?
• What opportunities does artificial intelligence offer your company?

The risk categories of the EU AI Regulation

• What risk categories does the EU AI Regulation provide for?
• Which AI practices are prohibited?
• Application examples for AI systems with high risks and GPAI systems.
• Obligations for providers and operators of high-risk or risk AI systems.

Requirements for general purpose AI models (GPAI systems)

• Information and transparency rules for GPAI systems.
• Requirements for a code of conduct.
• Labeling obligations.

data privacy when using AI in the compliance context

• Data protection requirements.
• The latest guidance from the data protection authorities.

AI strategy in the company

• Requirements for the AI strategy.
• Presentation of implementation proposals.
• Key points of the AI guidelines.
• Requirements for the technical design (on-premise, SaaS).

Copyright, trade secrets

• Copyright regulations for the use of AI.
• Dealing with trade secrets, prompts as new trade secrets.

Sensitization and training

• Which training measures are useful and necessary?
• Legal and ethical aspects of training.