Artificial Intelligence (AI) is transforming our daily life with several
applications in healthcare, space exploration, banking and finance. These rapid
progresses in AI have brought increasing attention to the potential impacts of
AI technologies on society, with ethically questionable consequences. In recent
years, several ethical principles have been released by governments, national
and international organisations. These principles outline high-level precepts
to guide the ethical development, deployment, and governance of AI. However,
the abstract nature, diversity, and context-dependency of these principles make
them difficult to implement and operationalize, resulting in gaps between
principles and their execution. Most recent work analysed and summarized
existing AI principles and guidelines but they did not provide findings on
principle-implementation gaps and how to mitigate them. These findings are
particularly important to ensure that AI implementations are aligned with
ethical principles and values. In this paper, we provide a contextual and
global evaluation of current ethical AI principles for all continents, with the
aim to identify potential principle characteristics tailored to specific
countries or applicable across countries. Next, we analyze the current level of
AI readiness and current implementations of ethical AI principles in different
countries, to identify gaps in the implementation of AI principles and their
causes. Finally, we propose recommendations to mitigate the
principle-implementation gaps.

本研究在全球角度对人工智能伦理原则进行了评估和分析，并提出了如何减轻原则实施差距的建议。