欧盟人工智能法案现已生效,详细说明了合规时间表和处罚

币界网Published on 2024-08-01Last updated on 2024-08-01

币界网报道:

《欧盟人工智能法案》在欧盟议会通过五个月后终于生效。随着该法律的生效,它成为人工智能领域的里程碑式监管,并可能为其他国家监管新兴行业设定步伐。

然而,《人工智能法》中的大多数规定不会立即生效,因为适用这些规则有时间表。随着该行业的发展,预计这将给公司更多的时间来遵守法律,并允许成员国为执法做好准备。

AI用例根据其风险进行分类

该法案采用基于风险的分类系统来确定适用于每家人工智能公司的规则。这些类别包括无风险、最小风险、高风险和禁止,人工智能系统所属的任何类别都将决定其操作规则何时生效。

对于被禁止的人工智能系统,监管机构已将2025年2月定为最后期限,禁止抓取互联网以扩展面部识别数据库或操纵用户做出决定的系统。

从8月1日起,高风险申请类别的人也将有六个月的时间遵守适用于他们的严格规定。被归类为高风险的人工智能系统包括用于面部识别、生物识别、关键公共服务、教育、就业和医疗软件的系统。

该小组的要求包括向监管机构提交培训数据集以供审计,并提供人为监督的证明。他们还被要求进行上市前的符合性测试。对于政府机构或公共服务使用的高风险系统,开发商必须在欧盟数据库中注册。

与此同时,大约85%的人工智能系统属于风险最小的类别,规则更灵活。尽管如此,该法案还是规定了惩罚措施,以遏制违规行为。罚款范围从公司违反禁止的人工智能系统时全球年营业额的7%到向监管机构提供错误信息时的1.5%不等。

生成性AI,限制最小

对于生成式人工智能系统的开发人员来说,他们的担忧是有限的,因为该法案将他们的模型标记为通用人工智能(GPAI)的例子,并将其中大多数归类为风险最小。因此,MetaAI、ChatGPT、Perplexity、Claude AI等顶级AI聊天机器人不会受到重大影响。

该法案只要求这些人工智能公司通过披露其培训数据来提高透明度。他们还将遵守欧盟版权规则。然而,一小部分全球认可机构被认为至关重要,足以引发系统性风险。这些是指那些使用超过指定水平的计算能力进行培训的人。

有趣的是,欧盟也负责执行与GPAI相关的规则,尽管每个国家都负责实施该法案下的一般规则。各州必须在2025年8月之前建立机构,在国内实施该法案。

与此同时,该法案的几个方面仍存在许多灰色地带。这些包括GPAI开发人员根据该法案必须遵守的具体指导方针。监管机构正在为此目的制定《行为准则》,由人工智能办公室牵头。

该办公室是监督和构建人工智能生态系统的机构,最近宣布了一项咨询程序,并呼吁所有利益相关者参与规则制定过程。它打算在2025年4月之前准备好这些准则。

Related Reads

a16z: In the AI Era, Company Competition for Talent Starts with Job Title Naming

The article discusses how companies in the AI era are competing for talent through strategic "title arbitrage," or the renaming of key roles to reflect and attract new, high-value capabilities. It uses Palantir's creation of the "Forward-Deployed Engineer" (FDE) as a prime example. This title reframed client-facing technical work from a peripheral "implementation" role into a core, high-status engineering function. The move was strategic, allowing Palantir to attract talent that blended technical skill with business acumen and to dominate the market's perception of this capability. The piece argues that job titles are an organizational language that signals the value and authority of certain work. Effective new titles, like "Data Scientist" or "Site Reliability Engineer," emerge when a role's strategic importance genuinely outgrows its old name. Conversely, mere title inflation without substantive change is ineffective. For AI companies, particularly in B2B, this is a crucial strategy. AI transformation creates new high-leverage roles (e.g., "Legal Engineer," "GTM Engineer") that combine domain expertise with technical automation. By naming these roles, a company can help clients internally legitimize these change-makers. This, in turn, builds market mindshare, associating the company with the new capability. In conclusion, as AI blurs the lines between product and service, the ability to accurately name and organize the critical, client-adjacent work that defines product learning will be a key competitive advantage. The first to define this new organizational language plants a flag in the market's mind.

marsbit36m ago

a16z: In the AI Era, Company Competition for Talent Starts with Job Title Naming

marsbit36m ago

Interview with Strategy CEO: Can STRC Recover After Selling Bitcoin?

Interview with Strategy CEO Phong Le on the recent sale of 32 Bitcoin and its impact. He clarifies the move was a small, strategic action to demonstrate liquidity to debt holders, test internal processes, and prove operational discipline—not a response to fears of a "death spiral" from DeFi protocols leveraging STRC (Strategy's preferred stock product), which he notes holds less than 10% of STRC. Le emphasizes Strategy’s long-term focus as the largest corporate Bitcoin holder, using the adage that markets are a "voting machine" short-term but a "weighing machine" long-term. Decision-making is data-driven, involving the board, complex modeling, and multiple stakeholder considerations, moving beyond a founder-centric model. He outlines various capital options but stresses the strategic importance of "doing nothing" as a valid choice, citing resilience built during the 2022 bear market. Le expresses unwavering belief in Bitcoin's foundational value for global sovereignty and its future role in an AI-driven economy with trillions of autonomous agents. Addressing STRC's current price below its $100 face value, Le explains recent pressure was due to using dollar reserves for bond buybacks. He expects STRC to return to par as reserves are replenished and its semi-monthly dividend payments begin, noting the product is heavily over-collateralized. Finally, Le confirms the company sold Bitcoin the week prior to May 31st, as disclosed in an 8-K filing, leaving prediction market interpretations to others. The overarching philosophy remains "Spread Bitcoin with love," embracing all methods of gaining Bitcoin exposure.

marsbit1h ago

Interview with Strategy CEO: Can STRC Recover After Selling Bitcoin?

marsbit1h ago

IOSG Founder: Ethereum Doesn't Need Another Leap of Technical Faith, It Needs a Musk-style Compromise

Jocy, founder of IOSG Ventures, argues that Ethereum does not need renewed technological faith but a "Musk-like compromise." The recent formation of ETHLabs—funded by major ETH holders like BitMine and Lubin—highlights a market-driven move to fill a gap left by the Ethereum Foundation (EF), signaling a loss of confidence in its decentralized, hands-off approach. The core critique contrasts Vitalik Buterin's (V) idealistic, technology-first vision with Elon Musk's pragmatic, business-driven execution. The author asserts Ethereum's current shortage is not another technical roadmap but a clear, real-world application narrative and a leader willing to engage directly with commercial realities—like Musk. Internal issues are emphasized, citing EF's management problems and talent drain. While the new decentralized model with independent nodes like ETHLabs addresses the single foundation's limitations, it risks fragmentation without cohesive direction. True cohesion, the author suggests, must come from a shared, compelling narrative around ETH's value, not just from aligned financial interests. Independence claims for new entities are seen as aspirational, needing years of transparency to build trust. The ultimate threat is not competitors like Solana, but the broader shift of attention and talent toward AI. Ethereum has a limited window—12 to 18 months—to recapture focus by delivering tangible, real-world applications. The conclusion urges V to shift from abstract ideals to grounded, pragmatic leadership. The time for this crucial pivot is running out.

marsbit2h ago

IOSG Founder: Ethereum Doesn't Need Another Leap of Technical Faith, It Needs a Musk-style Compromise

marsbit2h ago

Trading

Spot
Futures
活动图片