透过镜子的人工智能:对人工智能的结构性社会和伦理挑战的实证研究
Mark Ryan1, Nina de Roo1, Hao Wang2
1Wageningen Economic Research, Wageningen University and Research, Droevendaalsesteeg 4, 6708 PB Wageningen, The Netherlands.
概括
人工智能伦理专业人士认为人工智能存在结构性挑战,超出了个人控制范围. 解决这些问题需要多层次,跨学科和包容性的治理方法.
科学领域:
- 计算机科学 计算机科学
- 社会学 社会学 社会学
- 伦理学 伦理学 伦理学
背景情况:
- 人工智能 (AI) 伦理讨论经常集中在个人代理责任上.
- 现有的AI伦理框架可能会忽视复杂的,系统性的不公正和不平等.
- 农业食品行业面临着独特的结构性AI伦理挑战.
研究的目的:
- 调查人工智能专业人员对结构性AI伦理挑战的看法.
- 探索农业食品部门超越个人意图和控制的挑战.
- 确定有效的AI伦理治理所需的组件.
主要方法:
- 定性经验研究. 定性经验研究.
- 对32名人工智能专业人士进行调查.
- 对结构性AI伦理问题的认知分析.
主要成果:
- 人工智能专业人士认识到人工智能伦理方面的结构性挑战.
- 许多已识别的挑战超出了设计师直接控制和责任的范围.
- 当前的伦理准则有可能忽视细微的,交叉的结构性问题.
- 包括多样化的利益相关者,如四重螺旋参与者,至关重要.
结论:
- 人工智能道德必须超越微观和中等层面,解决结构性问题.
- 更广泛的范围,包括多层次的,多方面的,跨学科的,多中心的治理是必不可少的.
- 重新思考人工智能伦理框架,包括各种利益相关者是全面解决方案的必要条件.
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