{"id":5431,"date":"2025-11-12T11:58:05","date_gmt":"2025-11-12T09:58:05","guid":{"rendered":"https:\/\/www.funlus.fi\/?p=5431"},"modified":"2025-11-12T11:58:09","modified_gmt":"2025-11-12T09:58:09","slug":"eu-artificial-intelligence-act-what-companies-should-know-about-the-obligations-of-providers-and-deployers","status":"publish","type":"post","link":"https:\/\/www.funlus.fi\/en\/2025\/11\/12\/eu-artificial-intelligence-act-what-companies-should-know-about-the-obligations-of-providers-and-deployers\/","title":{"rendered":"EU Artificial Intelligence Act \u2013 what companies should know about the obligations of providers and deployers"},"content":{"rendered":"

EU Artificial Intelligence Act \u2013 what companies should know about the obligations of providers and deployers<\/h1><\/div>

The European Union\u2019s Artificial Intelligence Act (EU Artificial Intelligence Act, 2024\/1689)<\/strong> is the first legislation in history that regulates artificial intelligence. Its aim is to ensure that AI systems used in Europe are safe, transparent, and under human control<\/strong>.<\/p>\n

The Act is based on a risk-based approach<\/strong> and rests on the idea that AI is like any other product: the party that places it on the market or puts it into use is responsible for its safety and performance.<\/p>\n

The AI Act is therefore a product safety law for AI<\/strong>. It applies to all AI systems that operate with some level of autonomy and learning and can affect people\u2019s lives, work, or rights.<\/p>\n<\/div>

AI risk levels \u2013 four tiers<\/h2><\/h2><\/div>

In the Act, AI systems are divided into four risk levels based on how much they can affect people and society.<\/p>\n<\/div>

<\/i><\/i><\/span>1. Unacceptable risk<\/span><\/a><\/h4><\/div>
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All AI systems that threaten people\u2019s safety, livelihood, or fundamental rights are prohibited.
Prohibited practices include for example:<\/p>\n

harmful AI-based manipulation and deception
using AI to exploit vulnerabilities
social scoring
assessing or predicting the risk of an individual crime
creating facial recognition databases through large-scale web scraping
emotion recognition at workplaces and in educational institutions
biometric categorization to infer protected attributes
real-time remote biometric identification for law enforcement in public spaces<\/p>\n<\/div><\/div><\/div>

<\/i><\/i><\/span>2. High risk<\/span><\/a><\/h4><\/div>
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High-risk systems are AI solutions that can significantly affect people\u2019s lives or rights.
Examples include:<\/p>\n