Bias in data‐driven artificial intelligence systems—An introductory survey
Leibniz University Hannover · L3S Research Center · +14 more institutions
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
- FWCI
- 109.76
- Percentile
- 100%
- References
- 105
Authors
23- ENEirini NtoutsiCorresponding
Leibniz University Hannover, L3S Research Center
- PFPavlos Fafalios
Foundation for Research and Technology Hellas
- UGUjwal Gadiraju
Leibniz University Hannover, L3S Research Center
- VIVasileios Iosifidis
Leibniz University Hannover, L3S Research Center
- WNWolfgang Nejdl
Leibniz University Hannover, L3S Research Center
Topics & keywords
- Computer science
- Big data
- Artificial intelligence
- Software deployment
- Ethical issues
- Multidisciplinary approach
- Data science
- Engineering ethics
- Peace, Justice and strong institutions