France’s Mistral dials up call for EU AI rules to fix rules for apps, not model makers
Divisions over how to set rules for applying artificial intelligence are complicating talks between European Union lawmakers trying to secure a political deal on draft legislation in the next few weeks, as we reported earlier this week. Key among the contested issues is how the law should approach upstream AI model makers.
French startup Mistral AI has found itself at the center of this debate after it was reported to be leading a lobbying charge to row back on a European Parliament’s proposal pushing for a tiered approach to regulating generative AI. What to do about so-called foundational models — or the (typically general purpose and/or generative) base models that app developers can tap into to build out automation software for specific use-cases — has turned into a major bone of contention for the EU’s AI Act.
The Commission originally proposed the risk-based framework for regulating applications of artificial intelligence back in April 2021. And while that first draft didn’t have much to say about generative AI (beyond suggesting some transparency requirements for techs like AI chatbots) much has happened at the blistering edge of developments in large language models (LLM) and generative AI since then.
So when parliamentarians took up the baton earlier this year, setting their negotiating mandate as co-legislators, they were determined to ensure the AI Act would not be outrun by developments in the fast-moving field. MEPs settled on pushing for different layers of obligations — including transparency requirements for foundational model makers. They also wanted rules for all general purpose AIs, aiming to regulate relationships in the AI value chain to above liabilities being pushed onto downstream deployers. For generative AI tools specifically, they suggested transparency requirements aimed at limiting risks in areas like disinformation and copyright infringement — such as an obligation to document material used to train models.
But the parliament’s effort has met opposition from some Member States in the Council during trilogue talks on the file — and its not clear whether EU lawmakers will find a way through the stalemate on issues like how (or indeed whether) to regulate foundational models with such a dwindling timeframe left to snatch a political compromise.
More cynical tech industry watchers might suggest legislative stalemate is the objective for some AI giants, who — for all their public calls for regulation — may prefer to set their own rules than bend to hard laws.
For its part, Mistral denies lobbying to block regulation of AI. Indeed, the startup claims to support the EU’s goal of regulating the safety and trustworthiness of AI apps. But it says it has concerns about more recent versions of the framework — arguing lawmakers are turning a proposal that started as a straightforward piece of product safety legislation into a convoluted bureaucracy which it contends will create disadvantageous friction for homegrown AI startups trying to compete with US giants and offer models for others to build on.
French startup Mistral AI has found itself at the center of this debate after it was reported to be leading a lobbying charge to row back on a European Parliament’s proposal pushing for a tiered approach to regulating generative AI. What to do about so-called foundational models — or the (typically general purpose and/or generative) base models that app developers can tap into to build out automation software for specific use-cases — has turned into a major bone of contention for the EU’s AI Act.
The Commission originally proposed the risk-based framework for regulating applications of artificial intelligence back in April 2021. And while that first draft didn’t have much to say about generative AI (beyond suggesting some transparency requirements for techs like AI chatbots) much has happened at the blistering edge of developments in large language models (LLM) and generative AI since then.
So when parliamentarians took up the baton earlier this year, setting their negotiating mandate as co-legislators, they were determined to ensure the AI Act would not be outrun by developments in the fast-moving field. MEPs settled on pushing for different layers of obligations — including transparency requirements for foundational model makers. They also wanted rules for all general purpose AIs, aiming to regulate relationships in the AI value chain to above liabilities being pushed onto downstream deployers. For generative AI tools specifically, they suggested transparency requirements aimed at limiting risks in areas like disinformation and copyright infringement — such as an obligation to document material used to train models.
But the parliament’s effort has met opposition from some Member States in the Council during trilogue talks on the file — and its not clear whether EU lawmakers will find a way through the stalemate on issues like how (or indeed whether) to regulate foundational models with such a dwindling timeframe left to snatch a political compromise.
More cynical tech industry watchers might suggest legislative stalemate is the objective for some AI giants, who — for all their public calls for regulation — may prefer to set their own rules than bend to hard laws.
For its part, Mistral denies lobbying to block regulation of AI. Indeed, the startup claims to support the EU’s goal of regulating the safety and trustworthiness of AI apps. But it says it has concerns about more recent versions of the framework — arguing lawmakers are turning a proposal that started as a straightforward piece of product safety legislation into a convoluted bureaucracy which it contends will create disadvantageous friction for homegrown AI startups trying to compete with US giants and offer models for others to build on.
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