  The utilization of artificial intelligence (AI) applications has experienced
tremendous growth in recent years, bringing forth numerous benefits and
conveniences. However, this expansion has also provoked ethical concerns, such
as privacy breaches, algorithmic discrimination, security and reliability
issues, transparency, and other unintended consequences. To determine whether a
global consensus exists regarding the ethical principles that should govern AI
applications and to contribute to the formation of future regulations, this
paper conducts a meta-analysis of 200 governance policies and ethical
guidelines for AI usage published by public bodies, academic institutions,
private companies, and civil society organizations worldwide. We identified at
least 17 resonating principles prevalent in the policies and guidelines of our
dataset, released as an open-source database and tool. We present the
limitations of performing a global scale analysis study paired with a critical
analysis of our findings, presenting areas of consensus that should be
incorporated into future regulatory efforts. All components tied to this work
can be found in https://nkluge-correa.github.io/worldwide_AI-ethics/
