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不受基于公开数据的人工智能分析的权利
The right not to be subjected to AI profiling based on publicly available data

原始链接: https://link.springer.com/article/10.1007/s13347-023-00616-9

这些文本探讨了社交媒体使用的各个方面，重点关注青少年的经历、心理健康障碍检测和道德问题。 Ahn（2012）的第一篇文章调查了社交网站与青少年社会资本之间的联系。 阿米尼等人的另一件作品。 （2022）讨论了通过社交媒体快速识别饮食失调的潜力。 安特尼斯等人。 (2016) 研究了社交网站在早期青少年社交生活中的重要性。 Appel 和 Weber（2021）深入研究了媒体产生的刻板印象对个人的影响及其对自我认知的影响，而 Beam（2016）则研究了在线新闻消费习惯与政治知识之间的关系。 此外，还有几篇讨论伦理原则的文章，例如 Beauchamp 和 Childress (2001) 在“生物医学伦理原则”中提出的文章，或 Bhugra (1989) 对精神疾病态度的分析等具体主题。 其他论文讨论了与心理学中的可预测性和决定论相关的问题（Bishop，2003；Boulianne，2009、2015；Huktopperschroer & Luetge，2022）。 有些作品侧重于方法论，包括应用自然语言处理（NLP）算法和机器学习技术来分析社交媒体内容，例如 Coppersmith 等人的作品。 (2018) 或 Gkotsis 等人。 （2017）。 此外，还存在围绕社交媒体使用中的隐私问题的讨论（Bright，2016；Gruzd & Hernandez-García，2018）。 总的来说，这些文章有助于理解社交媒体平台、用户行为和各个领域的社会影响之间的复杂关系，从人际关系和心理健康到道德和技术进步。

尽管速度限制和执法方法各不相同，但超速仍然是一个重大的安全问题。 碰撞能量随着速度的增加呈指数增加，因此需要努力控制速度。 由于驾驶员超过最佳速度以及有利于汽车的基础设施设计，低速限制与高速驾驶并存。 执行速度限制涉及公众对公平性和有效性的看法，从而引发有关执行能力是否存在的争论。 现代技术，例如包括测速摄像头在内的自动执法，旨在解决这一挑战。 例如，在 20 世纪 70 年代石油危机期间，全国高速公路速度被限制为 55 英里/小时。 安全研究表明，速度差对碰撞事故有很大影响，因此速度限制已经发展到适应道路设计的最佳速度。 然而，由于对持续超速的假设，许多限制仍然低于最佳水平。 此外，研究表明，即使在农村地区，人们也要对许多愚蠢的驾驶错误负责。 这些因素导致交通事故和死亡人数增加。 尽管努力改善驾驶条件，但确保遵守速度限制对于促进道路安全仍然至关重要。
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原文

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