{"id":10337,"date":"2025-07-24T10:00:00","date_gmt":"2025-07-24T08:00:00","guid":{"rendered":"https:\/\/sites.hslu.ch\/applied-data-science\/?p=10337"},"modified":"2025-07-24T10:03:32","modified_gmt":"2025-07-24T08:03:32","slug":"a-global-first-in-regulating-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/sites.hslu.ch\/applied-data-science\/a-global-first-in-regulating-artificial-intelligence\/","title":{"rendered":"A Global First in Regulating Artificial Intelligence"},"content":{"rendered":"\n

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Shortcuts:
Framework<\/a> | Timeline<\/a> | Impact<\/a> |<\/strong> Info-Events<\/a> | Programme Information<\/a> | Contact<\/a><\/strong><\/p>\n\n\n\n

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Dr Dimitrios Marinos<\/a>, our lecturer at HSLU<\/a>, has deep expertise in artificial intelligence, big data analytics, digital transformation, AI ethics, data governance and more.
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A Risk-Based Framework for Responsible AI<\/strong><\/h2>\n\n\n\n

At the heart of the EU AI Act lies a risk-based approach that categorizes AI systems into four levels: unacceptable risk, high risk, limited risk, and minimal risk. Each level determines how closely authorities must monitor the system. AI systems that pose an “unacceptable risk”, such as those involving social scoring or manipulative biometric surveillance, face an outright ban. High-risk systems, used in law enforcement, healthcare and critical infrastructure, must meet strict obligations. These include conformity assessments, robust data management, and human oversight. <\/p>\n\n\n\n

By contrast, limited-risk systems like chatbots or content generators only have to inform users that they are interacting with AI. Minimal-risk applications, such as AI in video games or spam filters, fall largely outside the scope of regulation. Thanks to this layered structure, the Act enables flexible governance while safeguarding individual rights and the public interest.<\/p>\n\n\n\n

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General-Purpose AI and Enforcement Timeline<\/strong><\/h2>\n\n\n\n

The Act also directly addresses General-Purpose AI (GPAI)<\/strong> systems, including large foundational models like ChatGPT. These systems must follow transparency standards, disclose their training data sources, and comply with EU copyright laws. If they present systemic risks, they also need to carry out safety testing and provide documentation.<\/p>\n\n\n\n

Importantly, the legislation rolls out step by step. Here is a summary of the most critical deadlines:<\/p>\n\n\n\n

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Date<\/strong><\/strong><\/td>Provision<\/strong><\/strong><\/strong><\/td><\/tr>
Aug 1, 2024<\/strong><\/td>AI Act enters into force<\/td><\/tr>
Feb 2, 2025<\/strong><\/td>Prohibitions on unacceptable-risk AI become binding<\/td><\/tr>
Aug 2, 2025<\/strong><\/td>GPAI obligations and governance structures apply<\/td><\/tr>
Aug 2, 2026<\/strong><\/td>High-risk system requirements become enforceable<\/td><\/tr>
Aug 2, 2027<\/strong><\/td>Full compliance deadline for all regulated systems<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

This staged implementation is intended to give developers, regulators, and businesses time to adjust to the new legal landscape.<\/p>\n\n\n\n

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Get the details for the Master’s programme “MSc in Applied Information and Data Science”<\/a><\/div>\n\n\n\n

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Global Impact and Legal Reach<\/strong><\/h2>\n\n\n\n

The AI Act has extraterritorial scope. This means companies outside the EU must comply if their AI systems affect users within the Union. Similar to the GDPR, this approach confirms the EU\u2019s leadership in global digital governance.<\/p>\n\n\n\n

A new European AI Office will coordinate enforcement, working together with national regulators and an EU-wide Artificial Intelligence Board. Fines for violations are steep: banned uses can result in penalties of up to \u20ac35 million or 7% of global turnover. Less severe breaches may still cost companies between \u20ac7.5 and \u20ac15 million.<\/p>\n\n\n\n

With the AI Act, Europe is not just regulating artificial intelligence, it is defining a global benchmark for ethical, transparent, and human-centric AI.<\/p>\n\n\n\n

We would like to thank Dr Dimitrios Marinos<\/a> for his dedication and for sharing these valuable insights. <\/strong><\/p>\n\n\n\n

Join us on our information events to get all the details about our Master’s programme<\/a><\/div>\n

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Start your career with the MSc in Applied Information and Data Science now!
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