EU member states approve world-first AI law

Key Takeaways:

– The European Union’s member states have approved the world’s first comprehensive AI regulation.
– Ambassadors from all 27 countries reached a deal on the AI Act after negotiations between the European Council, European Parliament, and European Commission.
– France, Germany, and Italy initially had reservations but eventually agreed to the regulations.
– The AI Act aims to regulate foundation models, which are general-purpose AI technologies that support various applications.
– The US has been slower to regulate AI, while China has implemented rules for generative AI but has yet to approve a comprehensive law.
– The implementation stage will involve continued lobbying and potential changes to the law.
– Critics are concerned about potential changes to the law and the impact on innovation.
– Transparent guidelines and a multidisciplinary approach are needed to ensure effective governance of AI systems.

The Next Web:

The European Union’s member states have finally approved the world’s first comprehensive AI regulation.

Ambassadors from all 27 countries reached a deal on the landmark AI Act today. The final text on the harmonised rules was agreed after lengthy negotiations between representations of the European Council, European Parliament, and European Commission.

France, Germany, and Italy had all expressed late reservations about the plans. The trio had called for limited regulation of foundation models, a general-purpose AI technology that supports a diverse range of applications. The GPT foundation models, for instance, underpin OpenAI’s ChatGPT.

France had been the last holdout on the deal, but finally dropped its objections today after securing additional conditions. That paved the way for the final agreement.

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Lawmakers will hope the pact gives the bloc an edge over its international competitors.

The US has been slower to regulate AI, preferring to let the tech sector push the developments. China, meanwhile, put into effect new rules for generative AI in August, but is yet to approve a comprehensive law for the tech. The EU’s sweeping AI Act is therefore the first of its kind to be adopted.

The bloc will now move to the implementation stage, where lobbying will continue.

Some critics remain concerned about potential changes to the law, while others fear the current rules will inhibit innovation.

“We must stay vigilant in this process to prevent dilution of the EU AI Act’s original intent,” said Bruna de Castro e Silva, AI Governance Specialist at Saidot. “It’s vital to make sure that corporate stakeholders are able to understand the reason for the EU’s policies and what they can do to follow them.

“What we need is transparent guidelines, interweaving governance with the development, deployment, and scaling of AI systems, taking the kind of multidisciplinary and cross-sectorial approach it takes to make real change.”


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AI Eclipse TLDR:

The European Union’s member states have unanimously approved the world’s first comprehensive regulation on artificial intelligence (AI). Ambassadors from all 27 countries reached a deal on the landmark AI Act, which sets harmonized rules for AI technology. The final text was agreed upon after lengthy negotiations between the European Council, European Parliament, and European Commission. France, Germany, and Italy initially expressed reservations about the plans, particularly regarding the regulation of foundation models, a general-purpose AI technology. However, France dropped its objections after securing additional conditions, leading to the final agreement. The EU hopes that this regulation will give it an edge over international competitors such as the US and China, both of which have been slower in implementing comprehensive AI laws. The EU’s AI Act will now move into the implementation stage, where lobbying will continue. Some critics are concerned about potential changes to the law, while others fear that the current rules may hinder innovation. It is important to ensure transparent guidelines and a multidisciplinary approach to governance in order to achieve real change in the development, deployment, and scaling of AI systems.