概述公众对新兴技术的看法:基因编辑,脑芯片和外骨架. 一个数据分析框架
Simona-Vasilica Oprea1, Adela Bâra1
1Bucharest University of Economic Studies, Department of Economic Informatics and Cybernetics, No. 6 Piaţa Romană, Bucharest, 010374, Romania.
Heliyon
|December 3, 2024
概括
这项研究探讨了公众对人工智能驱动的人类增强技术的态度. 数据分析揭示了不同的客户配置文件,突出了道德发展和社会调整的需要.
科学领域:
- 调查了人工智能 (AI),纳米技术和生物技术交集的进展.
- 将人工智能发展归类为人类增强的形式.
- 专注于数据驱动的分析,以了解人工智能和人类增强.
背景情况:
- 根据2021年2月对5000多名美国受访者进行的调查.
- 调查包括关于人类增强,科学角色,关注点,公平性和人口统计的100个问题.
- 探讨新兴人工智能技术对社会的影响.
研究的目的:
- 通过数据分析,推进对人工智能和人类增强的理解.
- 为未来的研究和社会应用提供实用工具.
- 分析公众对人工智能人类增强的态度.
主要方法:
- 采用数据分析框架,包括DBSCAN和K-means集群.
- 使用ANOVA进行集群分析,PCA,t-SNE和UMAP用于可视化.
- 包括预测任务与多类分类,用于高级客户配置文件.
主要成果:
- 集群方法确定了不同的AI客户配置文件:温和的,技术伦理倡导者和技术前的远见者.
- 在预测任务中获得了0.852的ROC-AUC得分和0.987的平均F1得分.
- 对公众对人工智能和人类增强的看法进行了重大洞察.
结论:
- 技术创造者和立法者必须在道德AI开发方面进行合作.
- 确保技术进步有道德依据,并得到广泛接受.
- 将人工智能的进步与社会价值观和公众信任保持一致.
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