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Related Questions
- What are some potential biases that can be introduced during the adversarial training process, and how can they be mitigated?
- How can we ensure that the adversary's goal is aligned with the desired fairness objectives, and what are some potential pitfalls to avoid?
- What are some open research questions related to the evaluation of fairness in AI decision-making systems, and how can we develop more robust metrics?
- Can adversarial training be used to address intersectional biases, and if so, what are some potential challenges and limitations?
- How can we balance the trade-off between fairness and accuracy in AI decision-making systems, and what are some potential strategies for achieving this balance?
- What are some potential applications of adversarial training in improving fairness in AI decision-making systems, such as in hiring or loan approval processes?
- How can we ensure that the adversarial training process is transparent and explainable, and what are some potential methods for achieving this transparency?
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