The GDPR watchdog, the European Data Protection Board (EDPB), has released a progress report from its “GPT taskforce” aimed at assessing OpenAI’s basic compliance of ChatGPT with the EU’s GDPR.
GDPR 监管机构欧洲数据保护委员会 (EDPB) 发布了其“GPT 工作组”的进度报告,旨在评估 OpenAI ChatGPT 与欧盟 GDPR 的基本合规性。
Even though there have been some positive changes regarding the issue in various states and the adoption of several measures to increase transparency, the EDPB concluded that these measures are still insufficient to meet the GDPR requirements.
尽管各州在该问题上出现了一些积极的变化,并采取了多项措施来提高透明度,但 EDPB 的结论是,这些措施仍然不足以满足 GDPR 的要求。
The EDPB’s key concern is with the quality of ChatGPT’s outputs. The report notes that the model can provide biased and fabricated information. This increases the probability of users passively accepting these inaccuracies as true facts.
EDPB 主要关注的是 ChatGPT 输出的质量。报告指出,该模型可能提供有偏见和捏造的信息。这增加了用户被动接受这些不准确事实作为真实事实的可能性。
This scrutiny comes after actions that Italy’s data protection agency undertook in January 2024 when it clarified that ChatGPT continues to breach Italian and EU data protection legislation.
此次审查是在意大利数据保护机构于 2024 年 1 月采取行动之后进行的,当时该机构澄清 ChatGPT 继续违反意大利和欧盟数据保护立法。
The EDPB also noted that the size of ChatGPT, with billions of data points and approximately one trillion parameters, does not reduce OpenAI’s obligations to adhere to the GDPR. They made it clear that there is no way an organization can use technical impossibility as an excuse for failure to meet these requirements.
EDPB 还指出,ChatGPT 的规模拥有数十亿个数据点和大约一万亿个参数,但这并不会减少 OpenAI 遵守 GDPR 的义务。他们明确表示,组织绝不能以技术不可行作为未能满足这些要求的借口。
OpenAI has yet to provide a solution on how it will meet the requirements, especially when facing regulatory hurdles in Europe because there are major technical barriers.
OpenAI 尚未提供如何满足要求的解决方案,特别是在欧洲面临重大技术障碍的监管障碍时。
Reflecting on the recent EDPB report, it is crucial to stress the significance of adhering to strict data accuracy and privacy requirements for an AI model like ChatGPT despite profound technical obstacles.
回顾最近的 EDPB 报告,尽管存在巨大的技术障碍,但必须强调像 ChatGPT 这样的人工智能模型遵守严格的数据准确性和隐私要求的重要性。
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