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Related Questions
- How do large language models reflect and perpetuate societal biases present in the data used to train them?
- Can large language models perpetuate cultural or linguistic biases that affect their performance and decision-making?
- What are some potential consequences of large language models' reliance on statistical patterns in data, which may not always reflect real-world nuances?
- In what ways can large language models replicate and amplify existing power imbalances and social inequalities?
- How do large language models' lack of common sense and real-world experience impact their ability to make critical decisions?
- Can large language models be vulnerable to adversarial attacks or manipulation, compromising their decision-making?
- What are some strategies for mitigating the potential biases and errors in large language models that could impact critical decision-making?
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