Indian Institute of Technology Madras
BS Degree Programme · Examination & Study Paper
Introduction to Natural Language Processing
Ethics & bias in NLP
Official Paper
Examination Instructions & Guidelines
- Solve on notebook/paper first before checking solutions.
- MCQ: Exactly 1 option is correct. Negative marking applies.
- MSQ: One or more options correct. Select all to score.
- Scientific calculator allowed for all calculations.
- Official answer key is sealed at the end of this sheet.
- Q1MCQ3 Marks·Choose one option
Which of the following scenarios represents an ethical concern with LLM deployment?
- AA summarization model shortening news articles while maintaining factual accuracy.
- BA question-answering system providing different answers for different demographics when asked about salary negotiations.
- CA chatbot refusing to generate offensive or harmful content.
- DA translation model translating medical terms with higher accuracy than general terms.
- Q2MSQ4 Marks·Choose all correct options
Which of the following are the examples of unintended bias in an NLP model?
- AA sentiment analysis model rating all political tweets as "negative".
- BA chatbot trained specifically for medical consultations failing on legal queries.
- CA text summarization model producing longer summaries for academic papers.
- DA machine translation system translating "doctor" to "he" and "nurse" to "she" in a gender-neutral language.
- Q3MSQ4 Marks·Choose all correct options
Which of the following factors contribute to bias amplification in NLP models?
- AReinforcement learning from biased human feedback.
- BTraining on unbalanced datasets where stereotypes exist.
- CApplying debiasing techniques such as zeroing out gender-related word embeddings.
- DUsing a larger model size to improve performance.