🇫🇷 法国
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🇫🇷 法国
🇫🇷 法国
用户8575用户85752024年6月14日修改
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综述
The CNIL Report, which was the result of public debate organized by the French Data Protection Authority, the CNIL,comprehensively collects, discusses and categorizes the use of AI and ML across sectorsand identifies the ethical issues with those uses.
The CNIL Report highlights six main ethical issues：
1.
While technology may be increasing the way for ever more complex and critical decisions and tasks to be delegated to machines, autonomous machinescan also pose a threat to individual autonomy and free will.
2.
AI can create bias, discrimination and even exclusion.
3.
Personalization is likely to affect not just individuals but also the key collective principles forming the bedrock of societies (filter bubbles—classifying and filtering masses of information could indirectly erode pluralism and cultural diversity).
4.
Preventingthe collection and retention of personal datawhile enhancing AI may justify rethinking the balancebetween the two.
5.
The choice of which andhow much data should be curated for AIare of paramount importance.
6.
Human uniqueness is being challenged by theautonomy of machines on the one hand and the increasing hybridization of humans withmachineson the other hand.
法国发布关于人工智能系统开发的首份建议
2024年4月8日，法国数据保护机构（CNIL）发布关于人工智能系统开发的首份建议，用于支持人工智能生态系统中的相关参与者严格遵守GDPR等个人数据保护的相关法律。建议主要包含以下内容：确定人工智能系统的目的、确定人工智能系统开发者的职责、确定允许开发者处理个人数据的法律依据、开发者重复使用数据时进行测试和验证的要求、执行数据保护影响评估的要求等。
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