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 監管機構歐洲資料保護委員會 (EDPB) 發布了其「GPT 工作小組」的進度報告,旨在評估 OpenAI ChatGPT 與歐盟 GDPR 的基本合規性。
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.
儘管各州在該問題上出現了一些積極的變化,並採取了多項措施來提高透明度,但 EDPB 的結論是,這些措施仍然不足以滿足 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.
EDP 主要關注的是 ChatGPT 輸出的品質。報告指出,該模型可能提供有偏見和捏造的資訊。這增加了用戶被動接受這些不準確事實作為真實事實的可能性。
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.
這項審查是在義大利資料保護機構於 2024 年 1 月採取行動之後進行的,當時該機構澄清 ChatGPT 繼續違反義大利和歐盟資料保護立法。
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.
EDP 也指出,ChatGPT 的規模擁有數十億個數據點和大約一兆個參數,但這並不會減少 OpenAI 遵守 GDPR 的義務。他們明確表示,組織絕不能以技術不可行作為未能滿足這些要求的藉口。
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 尚未提供如何滿足要求的解決方案,特別是在歐洲面臨重大技術障礙的監管障礙時。
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.
回顧最近的 EDPB 報告,儘管存在巨大的技術障礙,但必須強調像 ChatGPT 這樣的人工智慧模型遵守嚴格的數據準確性和隱私要求的重要性。
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