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.

本研究通过哲学伦理观点、技术角度以及政治视角三个不同的角度探讨了伦理人工智能技术设计实施，旨在发掘伦理人工智能技术的长期影响和预期成果，在此基础上提出了一种新的政治角度的框架，探讨了其上下结合和混合技术的方式，最终总结了伦理人工智能技术发展的策略和理念。

人工智能道德的情境化：自上而下，自下而上和混合模型的理论与应用伦理学的元民族志

Contextualizing Artificially Intelligent Morality: A Meta-Ethnography of Top-Down, Bottom-Up, and Hybrid Models for Theoretical and Applied Ethics in Artificial Intelligence