Bias in data‐driven artificial intelligence systems—An introductory survey

Leibniz University Hannover · L3S Research Center · +14 more institutions

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Abstract

Abstract Artificial Intelligence (AI)‐based systems are widely employed nowadays to make decisions that have far‐reaching impact on individuals and society. Their decisions might affect everyone, everywhere, and anytime, entailing concerns about potential human rights issues. Therefore, it is necessary to move beyond traditional AI algorithms optimized for predictive performance and embed ethical and legal principles in their design, training, and deployment to ensure social good while still benefiting from the huge potential of the AI technology. The goal of this survey is to provide a broad multidisciplinary overview of the area of bias in AI systems, focusing on technical challenges and solutions as well as…

Citation impact

976
total citations
FWCI
109.76
Percentile
100%
References
105
Citations per year

Authors

23

Topics & keywords

Keywords
  • Computer science
  • Big data
  • Artificial intelligence
  • Software deployment
  • Ethical issues
  • Multidisciplinary approach
  • Data science
  • Engineering ethics
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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