1Aug/24Off
European Artificial Intelligence Act comes into force
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The AI Act introduces a forward-looking definition of AI, based on a product safety and risk-based approach in the EU:
- Minimal risk: Most AI systems, such as AI-enabled recommender systems and spam filters, fall into this category. These systems face no obligations under the AI Act due to their minimal risk to citizens' rights and safety. Companies can voluntarily adopt additional codes of conduct.
- Specific transparency risk: AI systems like chatbots must clearly disclose to users that they are interacting with a machine. Certain AI-generated content, including deep fakes, must be labelled as such, and users need to be informed when biometric categorisation or emotion recognition systems are being used. In addition, providers will have to design systems in a way that synthetic audio, video, text and images content is marked in a machine-readable format, and detectable as artificially generated or manipulated.
- High risk: AI systems identified as high-risk will be required to comply with strict requirements, including risk-mitigation systems, high quality of data sets, logging of activity, detailed documentation, clear user information, human oversight, and a high level of robustness, accuracy, and cybersecurity. Regulatory sandboxes will facilitate responsible innovation and the development of compliant AI systems. Such high-risk AI systems include for example AI systems used for recruitment, or to assess whether somebody is entitled to get a loan, or to run autonomous robots.
- Unacceptable risk: AI systems considered a clear threat to the fundamental rights of people will be banned. This includes AI systems or applications that manipulate human behaviour to circumvent users' free will, such as toys using voice assistance encouraging dangerous behaviour of minors, systems that allow ‘social scoring' by governments or companies, and certain applications of predictive policing. In addition, some uses of biometric systems will be prohibited, for example emotion recognition systems used at the workplace and some systems for categorising people or real time remote biometric identification for law enforcement purposes in publicly accessible spaces (with narrow exceptions).
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See the full press release here: https://ec.europa.eu/commission/presscorner/detail/en/ip_24_4123
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