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Arxiv
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Trustworthy AI Must Account for Intersectionality
- Trustworthy AI encompasses aspects such as fairness, privacy, robustness, explainability, and uncertainty quantification.
- Efforts to enhance one aspect often introduce unintended trade-offs that negatively impact others.
- Addressing trustworthiness along each axis in isolation is insufficient.
- Research on Trustworthy AI must account for intersectionality between aspects and adopt a holistic view.
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