EU AI Act Negotiations Stalled Over Foundational Models Regulation
As European Union lawmakers rush to finalize the landmark EU AI Act, divisions over how to regulate artificial intelligence (AI) have intensified. A key sticking point? Whether the law should impose obligations on upstream AI model makers or focus solely on downstream applications.
Mistral AI at the Center of the Debate
French AI startup Mistral AI has emerged as a vocal opponent of regulating foundational models—the base AI systems used to build specialized applications. The company argues that the EU AI Act should maintain its original focus on product safety rather than expanding into broader governance of AI infrastructure.
- Original Proposal (2021): The European Commission’s draft focused on risk-based regulation of AI applications, with minimal provisions for generative AI.
- Parliament’s Amendments (2023): MEPs pushed for tiered obligations, including transparency requirements for foundational model makers.
- Council Pushback: Led by France and Germany, some member states resist regulating upstream models, fearing stifled innovation.
Mistral’s Argument: Let Market Forces Drive Safety
Mistral’s CEO, Arthur Mensch, contends that competition, not direct regulation, will ensure AI safety:
- Downstream Responsibility: App developers, not model makers, should bear legal liability.
- Benchmarking Tools: Model providers will compete to offer safety tools to comply with app-level regulations.
- Avoiding Bureaucracy: Overregulation could disadvantage European startups against U.S. tech giants.
“We think that the deployer should bear the risk, bear the responsibility. And we think it’s the best way of enforcing some second-order pressure on the foundational model makers.” — Arthur Mensch, Mistral AI CEO
U.S. Influence and Open-Source Advocacy
U.S. tech giants like OpenAI and Microsoft have also lobbied for lighter regulation of foundational models. However, Mistral distinguishes its stance:
- Hard Rules vs. Self-Regulation: Unlike U.S. firms advocating for voluntary codes, Mistral supports binding EU regulations—but only for end-use applications.
- Open-Source Models: Mistral releases some models publicly, arguing this fosters transparency and democratic oversight.
Counterarguments: Why Regulate Foundational Models?
Critics, including the Ada Lovelace Institute, warn that exempting foundational models could leave gaps in accountability:
- Systemic Risks: Large models can propagate biases, misinformation, and privacy violations at scale.
- Downstream Burden: Smaller app developers may lack resources to ensure compliance without upstream safeguards.
- Precedent: Other heavily regulated industries (e.g., aviation, finance) balance safety and innovation.
The Road Ahead
With trilogue negotiations in their final stages, the EU faces a tough choice:
- Stick to Product Safety: Focus regulation on AI applications, as Mistral and some member states advocate.
- Tiered Approach: Impose obligations on both model makers and deployers, as Parliament proposes.
- Risk Stalemate: Failure to compromise could delay the AI Act indefinitely.
Key Takeaways
- Mistral AI opposes regulating foundational models, fearing bureaucratic overreach.
- U.S. tech giants align with Mistral’s stance but favor softer, self-regulatory measures.
- Civil society groups warn that unchecked foundational models pose systemic risks.
- Deadlock looms as EU institutions race against the clock to finalize the AI Act.
As debates rage on, one thing is clear: Europe’s approach to AI governance will set a global precedent—for better or worse.
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