The EU Artificial Intelligence Act (AI Act) is undoubtedly one of the most debated regulatory topics in recent years, posing significant challenges for all business sectors adopting AI solutions. Its long-term, cross-sector impact demands a thorough understanding from legal, technical, and strategic perspectives.
This one day intensive training offers a deep dive into the legal implications of the AI Act, especially as they intersect with existing legislation—most notably, the General Data Protection Regulation (GDPR). As AI systems increasingly process personal data throughout their lifecycle, understanding the interplay between these two regulatory frameworks becomes essential for legal professionals, data protection officers, compliance teams, and AI developers alike.
Participants will explore how GDPR principles such as data minimization, purpose limitation, and data subject rights apply to AI systems, especially those using machine learning techniques that rely heavily on vast datasets.
The course will tackle practical questions arising from AI development and deployment, including the legal basis for data processing, the retention of personal data in trained models, and the implications of using scraped personal data. Moreover, it will address role qualifications under GDPR (controller vs. processor) in light of how AI models are trained, fine-tuned, and deployed in real-world use cases.
Through a structured exploration of key legal concepts related to AI technologies, this course will clarify the types of AI systems regulated under the AI Act (such as high-risk or prohibited systems), the obligations for placing these systems on the market, and the roles and responsibilities of various stakeholders (providers, deployers, and others).
The course aims to equip professionals with the knowledge and tools to confidently assess compliance risks, align AI projects with EU legal frameworks, and respond effectively to regulatory requirements in this fast-evolving space.
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