Pancasila-Dilemmas: Evaluating Large Language Models on Indonesian Human Value Dilemmas Grounded in Pancasila
Factual evidence
What the source reports
New research introduces Pancasila-Dilemmas, a dataset of 1,834 questions from Indonesian news to evaluate LLM value alignment with country-specific values.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 27 October 2026
- Collected by OneBench
- 21 Jul 2026, 08:29 UK
Stored source excerpt
arXiv:2607.18066v1 Announce Type: new Abstract: The value alignment of large language models (LLMs) is crucial for ensuring responses align with human intention and value preferences.…
Short excerpt from the collected text, not the full source. Use the source link to read it in context.
The factual summary is a OneBench synthesis, not a quotation or independent verification. Collection time is not publication time. Open the source for its full context; related reporting can share the same underlying announcement.
OneBench interpretation
Institutional assessment
So what
This dataset highlights the critical gap in current LLM value alignment, demonstrating that models trained on Western values often fail to account for specific national or regional ethical frameworks, which impacts global enterprise deployment.
Do what
Your responsible AI framework requires expansion to include evaluation for local cultural and ethical norms when deploying LLMs in non-Western markets, driving a need for region-specific alignment datasets and validation expertise.