75 citations · 179 across the 25 of their papers we have counts for
8 papers · 1 filter
Toward Cultural Alignment: Human-Centered Evaluation of Multimodal AI Stories Across Five African Communities
Millicent Ochieng, Felermino D. M. A. Ali, Elizabeth A. Ankrah +8
In this paper, we examine how well AI-generated multimodal stories align with the lived practices, relationships, language, values, and visual expectations of the communities they…
PLURAL: A Global Dataset for Value Alignment
Dhruv Agarwal, Anya Shukla, Tanya Goyal +1
Large language models (LLMs) are used worldwide, yet disproportionately reflect Western values, limiting their ability to represent diverse value systems. We introduce PLURAL, a la…
ABLEIST: Intersectional Disability Bias in LLM-Generated Hiring Scenarios
Mahika Phutane, Hayoung Jung, Matthew Kim +2
Large language models (LLMs) are increasingly under scrutiny for perpetuating identity-based discrimination in high-stakes domains such as hiring, particularly against people with…
How Deep Is Representational Bias in LLMs? The Cases of Caste and Religion
Agrima Seth, Monojit Choudhary, Sunayana Sitaram +3
Representational bias in large language models (LLMs) has predominantly been measured through single-response interactions and has focused on Global North-centric identities like r…
Fluent but Foreign: Even Regional LLMs Lack Cultural Alignment
Dhruv Agarwal, Anya Shukla, Sunayana Sitaram +1
Large language models (LLMs) are used worldwide, yet exhibit Western cultural tendencies. Many countries are now building ``regional'' or ``sovereign'' LLMs, but it remains unclear…
Think Outside the Data: Colonial Biases and Systemic Issues in Automated Moderation Pipelines for Low-Resource Languages
Farhana Shahid, Mona Elswah, Aditya Vashistha
Most social media users come from the Global South, where harmful content usually appears in local languages. Yet, AI-driven moderation systems struggle with low-resource languages…
KAHANI: Culturally-Nuanced Visual Storytelling Tool for Non-Western Cultures
Hamna, Deepthi Sudharsan, Agrima Seth +6
Large Language Models (LLMs) and Text-To-Image (T2I) models have demonstrated the ability to generate compelling text and visual stories. However, their outputs are predominantly a…
Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language Technology
Rishav Hada, Safiya Husain, Varun Gumma +8
Existing research in measuring and mitigating gender bias predominantly centers on English, overlooking the intricate challenges posed by non-English languages and the Global South…