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Related Questions
- What are the common pitfalls of relying solely on saliency maps for bias detection in summaries?
- How do saliency maps struggle to capture nuanced biases in summaries, and what are the implications?
- What are some alternative methods for detecting bias in summaries that can complement saliency maps?
- Can saliency maps be used to identify biases in summaries generated by language models, and if so, what are the challenges?
- How do the limitations of saliency maps for bias detection in summaries impact the development of more transparent and accountable AI systems?
- What are some potential biases that saliency maps may miss in summaries, and how can these be addressed?
- Can saliency maps be used to identify biases in summaries that are not explicitly stated, but rather implied through language or tone?
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