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Alicia Parrish

AI risk and reliability researcher

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Evaluation work on multicultural, multimodal, and multilingual AI risk and reliability.

Many Builders reference → Safety & alignment coverage →

Writing and research by Alicia Parrish

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These articles, papers and essays carry Alicia Parrish in the source-supplied author field. Verify the definitive byline and text at the original publisher.

arXiv

Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability — open the original publisher

By Alicia Parrish, Rajat Shinde, Sanket Badhe, Xinyi Bai, Sree Bhargavi Balija, Hua-Rong Chu et al.

Current AI safety evaluation and benchmarking frameworks predominantly rely on Western-centric culture-agnostic defaults that mask critical regional laws, socio-linguistic nuances, and cultural taboos, leaving Vision-Language Models (VLMs) vulnerable in global deployments. We introduce Pluralis v0.1: a novel multimodal, multi-regional, and multilingual dataset built from a culture-first perspective. Spanning 6,448 prompts across six Asia-Pacific countries (Bangladesh, India, Korea, Pakistan, Sin

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