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Open Letter: Europe Needs Regulatory Certainty on AI

Open Letter: Europe Needs Regulatory Certainty on AI

開放信件:歐洲需要關於人工智能的監管確定性
愛立信 ·  09/19 12:00

Signatories to the letter - coordinated by Meta - say that fragmented regulation in Europe is hindering AI opportunities, while other global regions press ahead at pace to embrace the technology.

由Meta協調的這封信的簽署人表示,歐洲分散的監管阻礙了人工智能的機會,而其他全球地區則在努力採用這項技術。

Open letter: Europe needs regulatory certainty on AI

公開信:歐洲需要人工智能方面的監管確定性

We are a group of companies, researchers and institutions integral to Europe and working to serve hundreds of millions of Europeans. We want to see Europe succeed and thrive, including in the field of cutting-edge AI research and technology.

我們是一群公司、研究人員和機構,是歐洲不可或缺的一部分,致力於爲數億歐洲人提供服務。我們希望看到歐洲取得成功和蓬勃發展,包括在尖端的人工智能研究和技術領域。

But the reality is Europe has become less competitive and less innovative compared to other regions and it now risks falling further behind in the AI era due to inconsistent regulatory decision making.

但現實是,與其他地區相比,歐洲的競爭力和創新性已降低,由於監管決策不一致,它現在有可能在人工智能時代進一步落後。

In the absence of consistent rules, the EU is going to miss out on two cornerstones of AI innovation.

在缺乏一致規則的情況下,歐盟將錯過人工智能創新的兩個基石。

The first are developments in 'open' models that are made available without charge for everyone to use, modify and build on, multiplying the benefits and spreading social and economic opportunity.

首先是 「開放」 模式的發展,這些模型免費提供給所有人使用、修改和發展,從而使收益成倍增長並傳播社會和經濟機會。

Open models strengthen sovereignty and control by allowing organisations to download and fine-tune the models wherever they want, removing the need to send their data elsewhere.

開放模型允許組織在任何地方下載和微調模型,從而無需將數據發送到其他地方,從而增強了主權和控制力。

The second are the latest 'multimodal' models, which operate fluidly across text, images and speech and will enable the next leap forward in AI. The difference between text-only models and multimodal is like the difference between having only one sense and having all five of them.

第二個是最新的 「多模式」 模型,它可以流暢地跨文本、圖像和語音運行,並將推動人工智能的下一次飛躍。純文本模型和多模態模型之間的區別就像只有一種感官和全部擁有五種感官之間的區別。

Frontier-level open models - based on text or multimodal - can turbocharge productivity, drive scientific research and add hundreds of billions of euros to the European economy.

基於文本或多模式的前沿開放模型可以提高生產力,推動科學研究,爲歐洲經濟增加數千億歐元。

Public institutions and researchers are already using these models to speed up medical research and preserve languages, while established businesses and start-ups are getting access to tools they could never build or afford themselves.

公共機構和研究人員已經在使用這些模型來加快醫學研究和保護語言,而成熟的企業和初創企業正在獲得他們自己無法開發或負擔不起的工具。

Without them, the development of AI will happen elsewhere - depriving Europeans of the technological advances enjoyed in the US, China and India. Research estimates that Generative AI could increase global GDP by 10 perent over the coming decade and EU citizens shouldn't be denied that growth.

沒有它們,人工智能的發展將發生在其他地方,使歐洲人無法享受美國、中國和印度所享有的技術進步。研究估計,生成式人工智能可以在未來十年將全球GDP提高10%,不應否認歐盟公民的這種增長。

The EU's ability to compete with the rest of the world on AI and reap the benefits of open source models rests on its single market and shared regulatory rulebook.

歐盟在人工智能方面與世界其他國家競爭並從開源模式中受益的能力取決於其單一市場和共同的監管規則手冊。

If companies and institutions are going to invest tens of billions of euros to build Generative AI for European citizens, they require clear rules, consistently applied, enabling the use of European data.

如果公司和機構要投資數百億歐元爲歐洲公民構建生成式人工智能,則需要明確的規則,始終如一地適用,從而能夠使用歐洲數據。

But in recent times, regulatory decision making has become fragmented and unpredictable, while interventions by the European Data Protection Authorities have created huge uncertainty about what kinds of data can be used to train AI models.

但是最近,監管決策變得分散且不可預測,而歐洲數據保護局的干預也給哪些類型的數據可用於訓練人工智能模型帶來了巨大的不確定性。

This means the next generation of open source AI models, and products, services we build on them, won't understand or reflect European knowledge, culture or languages.

這意味着下一代開源人工智能模型以及我們在其基礎上構建的產品和服務將無法理解或反映歐洲的知識、文化或語言。

Europe faces a choice that will impact the region for decades. It can choose to reassert the principle of harmonisation enshrined in regulatory frameworks like the GDPR, and offer a modern interpretation of GDPR provisions that still respects its underlying values, so that AI innovation happens here at the same scale and speed as elsewhere.

歐洲面臨的選擇將影響該地區數十年。它可以選擇重申GDPR等監管框架中規定的協調原則,並對GDPR條款進行現代解釋,但仍尊重其基本價值觀,從而使人工智能創新以與其他地方相同的規模和速度在這裏發生。

Or, it can continue to reject progress, contradict the ambitions of the single market and watch as the rest of the world builds on technologies that Europeans will not have access to.

或者,它可以繼續拒絕進步,與單一市場的野心相矛盾,看着世界其他地區建立在歐洲人無法獲得的技術基礎上。

We hope European policymakers and regulators see what is at stake if there is no change of course. Europe can't afford to miss out on the widespread benefits from responsibly built open AI technologies that will accelerate economic growth and unlock progress in scientific research.

我們希望歐洲決策者和監管機構明白,如果不改變方向,危在旦夕。歐洲不能錯過負責任地構建的開放人工智能技術所帶來的廣泛好處,這些技術將加速經濟增長並解鎖科學研究的進展。

For that we need harmonised, consistent, quick and clear decisions under EU data regulations that enable European data to be used in AI training for the benefit of Europeans. Decisive action is needed to help unlock the creativity, ingenuity and entrepreneurialism that will ensure Europe's prosperity, growth and technical leadership.

爲此,我們需要根據歐盟數據法規做出統一、一致、快速和明確的決策,使歐洲數據能夠用於人工智能培訓,造福歐洲人。需要採取果斷行動,幫助釋放創造力、獨創性和企業家精神,從而確保歐洲的繁榮、增長和技術領導地位。

譯文內容由第三人軟體翻譯。


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