In 2024, the European Union adopted theAI Act<\/strong> (or Artificial Intelligence Act<\/strong>), a major piece of legislation framing the development and use of artificial intelligence (AI) in Europe. It is the world’s first legislation dedicated to AI<\/strong>, and aims to become an international reference standard. <\/p>\n The aim is twofold: to encourage innovation<\/strong> while guaranteeing security and the protection of<\/strong> citizens’ fundamental rights<\/strong>.<\/p>\n In this article, we explain in detail what the AI Act is, its main provisions, its impacts for businesses, and why it represents a turning point in AI regulation.<\/p>\n TheAI Act<\/strong> (Artificial Intelligence Act) is the first European regulation<\/strong> entirely dedicated to artificial intelligence. Unlike a directive, this regulation is directly applicable in all EU member states<\/strong>, without the need for transposition into national law. This guarantees Europe-wide harmonization of rules<\/strong>, avoiding disparate legislation from one country to another. <\/p>\n Its main objective is to create a clear legal framework<\/strong> for the design, development, deployment and use of artificial intelligence systems. This framework aims to reconcile two strategic priorities: <\/p>\n Encouraging innovation and competitiveness<\/strong> of European companies in the field of AI.<\/p>\n<\/li>\n Protect citizens and their fundamental rights<\/strong> in the face of potential abuses linked to certain AI applications (discrimination, intrusive surveillance, manipulation).<\/p>\n<\/li>\n<\/ol>\n The AI Act is based on a proportionate, risk-based approach<\/strong>. The more dangerous an artificial intelligence system is deemed to be for the safety, health or rights of citizens, the stricter the rules to be respected. <\/p>\n In concrete terms :<\/p>\n Systems that present an unacceptable risk<\/strong> (such as real-time facial recognition in public spaces or social scoring inspired by the Chinese model) are purely prohibited<\/strong>.<\/p>\n<\/li>\n High-risk<\/strong> systems (e.g. AI medical diagnostics, algorithms used in recruitment, critical infrastructures) are permitted, but subject to very strict obligations<\/strong> of transparency, documentation and human supervision.<\/p>\n<\/li>\n Limited-risk<\/strong> systems must comply with transparency obligations (for example, informing users that they are interacting with a chatbot).<\/p>\n<\/li>\n Minimal-risk<\/strong> systems (video games, spam filters, office tools) are not subject to any particular constraints.<\/p>\n<\/li>\n<\/ul>\n The IA Act does not just concern large technology groups<\/strong>. It applies to any organization developing or using artificial intelligence<\/strong> in the European Union: <\/p>\n Major international companies<\/strong> offering AI-based solutions.<\/p>\n<\/li>\n European SMEs and startups<\/strong>, who will have to integrate these new rules into the design of their products.<\/p>\n<\/li>\n Public players<\/strong> (administrations, hospitals, local authorities) using AI systems in their services.<\/p>\n<\/li>\n<\/ul>\n The ambition is to lay the foundations for trustworthy AI<\/strong> that is both innovative and respectful of human rights, by positioning Europe as a world leader in the ethical regulation<\/strong> of artificial intelligence.<\/p>\n The AI Act is based on a classification of artificial intelligence systems into four risk categories<\/strong>. This approach makes it possible to tailor legal obligations according to the potential danger posed by AI to citizens and society. The higher the risk, the stricter the regulatory requirements. <\/p>\n Some AI applications are deemed to be contrary to fundamental rights<\/strong> and are therefore formally prohibited<\/strong> in the European Union. Concrete examples:<\/strong><\/p>\n Real-time mass biometric surveillance<\/strong>, notably via facial recognition in public places.<\/p>\n<\/li>\n Social<\/strong> scoring systems, such as those used in China, which classify individuals according to their behavior or creditworthiness.<\/p>\n<\/li>\n Large-scale behavioral or psychological manipulation<\/strong>, aimed at exploiting people’s vulnerabilities (for example, targeting children with manipulative advertising).<\/p>\n<\/li>\n<\/ul>\n The ban on these uses positions Europe as a pioneer in the protection of individual liberties in the face of technological excesses<\/strong>.<\/p>\n So-called ” high-risk<\/strong> ” AI systems are authorized, but are subject to rigorous controls<\/strong>. These uses are considered essential in certain sectors (health, transport, education…), but can have serious consequences in the event of failure or bias. <\/p>\n Concrete examples:<\/strong><\/p>\n AI used in recruitment and human resources management<\/strong>, where a biased algorithm can lead to discrimination.<\/p>\n<\/li>\n Medical diagnostic systems<\/strong> supported by artificial intelligence, which must guarantee maximum reliability to protect patients’ health.<\/p>\n<\/li>\n Algorithms linked to critical infrastructures<\/strong> such as transport, energy or security, where an error could have massive consequences.<\/p>\n<\/li>\n<\/ul>\n Main obligations for companies :<\/strong><\/p>\n Data transparency<\/strong>: the origin and quality of the data used must be documented.<\/p>\n<\/li>\n Detailed technical documentation<\/strong>: each system must be accompanied by a clear description of how it works.<\/p>\n<\/li>\n Compulsory human supervision<\/strong>: humans must remain in the decision-making loop to avoid drift or automatic errors.<\/p>\n<\/li>\n<\/ul>\n This category is undoubtedly the most restrictive for companies, but it is essential for building trusting AI<\/strong>.<\/p>\n Limited-risk<\/strong> systems don’t have as many technical constraints as high-risk systems, but they do have to comply with rules of transparency<\/strong> for users.<\/p>\n Concrete examples:<\/strong><\/p>\n Customer service chatbots<\/strong>: users must be informed that they are dealing with an AI, not a human.<\/p>\n<\/li>\n Content generation<\/strong> tools (text, image, video) such as ChatGPT, DALL-E or MidJourney<\/strong>: they must clearly indicate that content has been produced by an AI.<\/p>\n<\/li>\n<\/ul>\n The aim is to prevent any risk of confusion or manipulation<\/strong>, and to ensure that users can interact with full knowledge of the facts.<\/p>\n The vast majority of AI applications fall into the minimal risk<\/strong> category. These systems are considered harmless to citizens, and therefore require no special obligations. <\/p>\n Concrete examples:<\/strong><\/p>\n Video games using AI<\/strong> to enhance the user experience.<\/p>\n<\/li>\n E-mail spam filters<\/strong>.<\/p>\n<\/li>\n Music and movie recommendation systems, used by platforms such as Spotify and Netflix.<\/p>\n<\/li>\n<\/ul>\n This category illustrates the AI Act’s determination not to hold back innovation unnecessarily<\/strong>, by giving companies a great deal of freedom for applications considered safe.<\/p>\n The IA Act introduces a strict legal framework for organizations. Here are the major points to remember: <\/p>\n Mandatory registration<\/strong>: high-risk AI systems will have to be registered in a European database.<\/p>\n<\/li>\n Transparency and traceability<\/strong>: obligation to provide clear information on how AI works.<\/p>\n<\/li>\n Human supervision<\/strong>: the human element must remain in the decision-making loop to avoid any drift.<\/p>\n<\/li>\n Conformity assessment<\/strong>: companies will have to prove that their AI complies with regulations.<\/p>\n<\/li>\n Financial penalties<\/strong>: fines of up to 35 million euros or 7% of worldwide sales<\/strong> for non-compliance.<\/p>\n<\/li>\n<\/ol>\n The regulation was adopted in 2024<\/strong>, but its application will be gradual:<\/p>\n 2025<\/strong>: ban on unacceptably risky systems.<\/p>\n<\/li>\n 2026<\/strong>: obligations come into force for high-risk systems.<\/p>\n<\/li>\n 2027<\/strong>: full roll-out and implementation of the system.<\/p>\n<\/li>\n<\/ul>\n This gives companies time to prepare and bring their AI solutions into compliance<\/strong>.<\/p>\n The IA Act will have a major impact on economic players<\/strong>.<\/p>\n Increased<\/strong> user and customer confidence<\/strong>.<\/p>\n<\/li>\n Harmonization of rules in Europe<\/strong>, facilitating international deployment.<\/p>\n<\/li>\n Competitive advantage<\/strong> for compliant companies (AI governance).<\/p>\n<\/li>\n<\/ul>\n High compliance costs<\/strong> for SMEs and startups.<\/p>\n<\/li>\n Increased need for legal and technical expertise<\/strong>.<\/p>\n<\/li>\n Risk of slowing down innovation<\/strong> in the face of red tape.<\/p>\n<\/li>\n<\/ul>\n Special focus ongenerative AI<\/strong> (ChatGPT, DALL-E, Gemini, Mistral AI, etc.).<\/p>\n Obligations include :<\/p>\n Clear indication when content is generated by AI<\/strong> (texts, images, videos).<\/p>\n<\/li>\n Documentation of training data<\/strong> used.<\/p>\n<\/li>\n Measures to prevent the generation of illegal or discriminatory content<\/strong>.<\/p>\n<\/li>\n<\/ul>\n These rules are designed to protect users against deepfakes, misinformation and algorithmic bias<\/strong>.<\/p>\n The IA Act is part of Europe’s desire to create a third way<\/strong> between :<\/p>\n the United States (rather permissive, with regulation based on corporate self-regulation);<\/p>\n<\/li>\n China (centralized, highly intrusive model).<\/p>\n<\/li>\n<\/ul>\n With this regulation, the EU intends to impose an ethical and responsible framework<\/strong> that could become a global standard, as was the case with the RGPD (General Data Protection Regulation).<\/p>\n TheAI Act<\/strong> marks a decisive step in the regulation of artificial intelligence. It imposes a balanced approach<\/strong>, seeking to reconcile technological innovation<\/strong> with the protection of fundamental rights<\/strong>. <\/p>\n For companies, it represents both a challenge<\/strong> (compliance, costs, organization) and an opportunity<\/strong> (customer confidence, brand image, European expansion).<\/p>\n The future of AI in Europe will largely depend on the ability of economic players to adapt quickly to this new regulatory framework<\/strong>.<\/p>\n","protected":false},"excerpt":{"rendered":" The IA Act: everything you need to know about Europe’s first artificial intelligence regulation Introduction In 2024, the European Union adopted theAI Act (or Artificial Intelligence Act), a major piece of legislation framing the development and use of artificial intelligence (AI) in Europe. It is the world’s first legislation dedicated to AI, and aims to […]<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[78],"tags":[],"class_list":["post-4732","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence"],"acf":[],"yoast_head":"\n
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A risk-based approach<\/h3>\n
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A very broad field of application<\/h3>\n
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\nThe four levels of risk defined by the IA Act<\/h2>\n
1. Unacceptable risk: prohibited uses<\/h3>\n
These practices represent a direct threat to the freedom, dignity and privacy of individuals.<\/p>\n\n
\n2. High-risk: strictly controlled uses<\/h3>\n
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\n3. Limited risk: mandatory transparency<\/h3>\n
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\n4. Minimal risk: unrestricted use<\/h3>\n
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\nKey obligations for companies<\/h2>\n
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\nImplementation schedule<\/h2>\n
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\nWhat are the implications for companies?<\/h2>\n
Opportunities<\/h3>\n
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Challenges<\/h3>\n
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\nGenerative AI and Act AI<\/h2>\n
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\nThe AI Act in European strategy<\/h2>\n
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\nConclusion<\/h2>\n