论文标题
语境化人工智能的道德:人工智能中理论和应用伦理的自上而下,自下而上和混合模型的荟萃术
Contextualizing Artificially Intelligent Morality: A Meta-Ethnography of Top-Down, Bottom-Up, and Hybrid Models for Theoretical and Applied Ethics in Artificial Intelligence
论文作者
论文摘要
在这一荟萃术中,我们探索了道德人工智能(AI)设计实施的三个不同角度,包括哲学伦理观点,技术观点和通过政治镜头进行框架。我们的定性研究包括一篇文献综述,该综述通过讨论了先前发表的对比性自上而下,自下而上和混合方法的价值和缺点,从而突出了这些角度的交叉引用。对该框架的新颖贡献是政治角度,该角度构成了人工智能中的伦理,要么是由公司和政府决定的,并通过政策或法律(来自顶部)施加,或者是人民要求的道德(从底部出发),以及自上而下,自下而上,自下而上,自下而上,以及在道德构造中发展的方式和预期的构建和预期的企业和意外的企业和意外的企业和意外的企业和意外。作为一种自下而上的应用技术方法和AI伦理原则作为一种实际的自上而下方法,重点是增强学习。这项调查包括现实世界中的案例研究,以基于历史事实,当前的世界环境以及可能的现实,就AI的伦理和理论未来的思想实验进行了有关AI伦理和理论未来思想实验的哲学辩论。
In this meta-ethnography, we explore three different angles of ethical artificial intelligence (AI) design implementation including the philosophical ethical viewpoint, the technical perspective, and framing through a political lens. Our qualitative research includes a literature review that highlights the cross-referencing of these angles by discussing the value and drawbacks of contrastive top-down, bottom-up, and hybrid approaches previously published. The novel contribution to this framework is the political angle, which constitutes ethics in AI either being determined by corporations and governments and imposed through policies or law (coming from the top), or ethics being called for by the people (coming from the bottom), as well as top-down, bottom-up, and hybrid technicalities of how AI is developed within a moral construct and in consideration of its users, with expected and unexpected consequences and long-term impact in the world. There is a focus on reinforcement learning as an example of a bottom-up applied technical approach and AI ethics principles as a practical top-down approach. This investigation includes real-world case studies to impart a global perspective, as well as philosophical debate on the ethics of AI and theoretical future thought experimentation based on historical facts, current world circumstances, and possible ensuing realities.