RupeeBias: Auditing Demographic Bias in Indian Economic Guidance from Large Language Models

arXiv:2609.31245 · cs.CL · Submitted 2026-09-25 · Read on arXiv

cs.CL

Submitted: 2026-09-25

Updated: 2026-09-28

Code: https://github.com/lab105/RupeeBiashuggingface.co

Terminology

• Benchmark — 23× in this paper · explained in 2 episodes
• Consistency — 16× in this paper · explained in 3 episodes
• Robustness — 7× in this paper · explained in 5 episodes
• Computer Science — 5× in this paper
• Maximum Observed Gap — 4× in this paper
• Ablation — 3× in this paper · explained in 1 episode
• Accuracy — 3× in this paper · explained in 1 episode
• Annotator Agreement — 3× in this paper · explained in 1 episode
• Canonical Pair Gap — 3× in this paper
• Failure Modes — 3× in this paper · explained in 3 episodes
• Accountability — 2× in this paper · explained in 2 episodes
• Cumulative Grade Point Average — 2× in this paper
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Other Backward Classes — 1× in this paper

Sources

• DECASTE: Unveiling Caste Stereotypes in Large Language Models through Multi-Dimensional Bias Analysis
• The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendations
• Quantifying Gender Bias in Large Language Models: When ChatGPT Becomes a Hiring Manager
• How is ChatGPT's behavior changing over time?

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