Representation Debiasing of Generated Data Involving Domain Experts
Author:
Affiliation:
1. Computer Science, KU Leuven, Belgium
2. University of Glasgow, United Kingdom
Funder
FWO
KU Leuven Internal Funds
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3631700.3664910
Reference52 articles.
1. 2019. Data quality and artificial intelligence – mitigating bias and error to protect fundamental rights. https://fra.europa.eu/en/publication/2019/data-quality-and-artificial-intelligence-mitigating-bias-and-error-protect
2. Impact of artificial intelligence on human loss in decision making, laziness and safety in education
3. Re-Thinking Data Strategy and Integration for Artificial Intelligence: Concepts, Opportunities, and Challenges
4. Challenges and limitations of synthetic minority oversampling techniques in machine learning
5. Data-Centric Explanations: Explaining Training Data of Machine Learning Systems to Promote Transparency
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