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University of Toronto
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LLMs not only generate biased content but also exhibit second-order bias in their judgments, revealing hidden biases that current safety measures fail to capture.
Institutional transparency in Canada's visa system masks significant disparities in how applicants experience algorithmic decision-making, revealing a troubling gap in accountability.
RAG-enhanced moderation can transform how LLMs address culturally insensitive speech, improving accuracy and community trust.
Even the best LLMs struggle to navigate the fine line between empathetic support and harmful validation in emotionally charged Bengali conversations.