The European Union’s member states have finally agreed to approve 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 harmonised 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 underpins a diverse range of applications. All three of them removed their objections this week, which paved the way for today’s agreement.
Lawmakers will hope that regulation 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.
📝 Signed!
Coreper I Ambassadors confirmed the final compromise text found on the proposal on harmonised rules on artificial intelligence (#AIAct).
The AI Act is a milestone, marking the 1st rules for AI in the 🌍, aiming to make it safe & in respect of 🇪🇺 fundamental rights. pic.twitter.com/QUe2Sr89A5
— Belgian Presidency of the Council of the EU 2024 (@EU2024BE) February 2, 2024
Some critics remain wary of the risks of dramatic changes, while others fear that the 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.”
