Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance


AI Robotics Ethics Society
PUC-RS Chapter

1University of Bonn

2PUC-RS

3University of Johannesburg

Our paper, "Worldwide AI Ethics", constitutes a meta-analysis of AI guidelines conducted by the AI Ethics Robotics Society, a non-profit organization dedicated to promoting awareness and conducting research on ethical inquiries concerning intelligent and autonomous systems. This research stems from our curiosity about comprehending the global landscape surrounding the normative discourse centered on AI.

Abstract

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.

BibTeX


@article{correa2023worldwide,
  author={Corr{\^e}a, Nicholas Kluge and Galv{\~a}o, Camila and Santos, James William and Del Pino, Carolina and Pinto, Edson Pontes and Barbosa, Camila and Massmann, Diogo and Mambrini, Rodrigo and Galv{\~a}o, Luiza and Terem, Edmund and Oliveira, Nythamar},
  title={Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance},
  journal={Patterns},
  year={2023},
  month={October},
  volume={4},
  number={10},
  doi={10.1016/j.patter.2023.100857}
}