75 citations · 179 across the 25 of their papers we have counts for
11 papers · 1 filter
TALES: A Taxonomy and Analysis of Cultural Representations in LLM-generated Stories
Kirti Bhagat, Shaily Bhatt, Athul Velagapudi +3
Millions of users across the globe turn to AI chatbots for their creative needs, inviting widespread interest in understanding how they represent diverse cultures. However, evaluat…
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…
Designing Culturally Aligned AI Systems For Social Good in Non-Western Contexts
Deepak Varuvel Dennison, Mohit Jain, Tanuja Ganu +1
AI technologies are increasingly deployed in high-stakes domains such as education, healthcare, law, and agriculture to address complex challenges in non-Western contexts. This pap…
Trade-offs in Social-Norm Framings for Health Chatbots: Balancing Trust and Preference
Arpita Wadhwa, Aditya Vashistha, Mohit Jain
AI-driven chatbots are increasingly being used to support community health workers (CHWs) in developing regions. Yet little is known about how cultural frameworks in chatbot design…
LLMs Homogenize Values in Constructive Arguments on Value-Laden Topics
Farhana Shahid, Stella Zhang, Aditya Vashistha
Large language models (LLMs) are increasingly used to promote prosocial and constructive discourse online. Yet little is known about how these models negotiate and shape underlying…
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…
Shiksha Copilot: Teacher-AI Collaboration for Curating and Customizing Lesson Plans in Low-Resource Schools
Deepak Varuvel Dennison, Bakhtawar Ahtisham, Kavyansh Chourasia +6
This study investigates Shiksha copilot, an AI-assisted lesson planning tool deployed in government schools across Karnataka, India. The system combined LLMs and human expertise th…
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…
"Ignorance is Not Bliss": Designing Personalized Moderation to Address Ableist Hate on Social Media
Sharon Heung, Lucy Jiang, Shiri Azenkot +1
Disabled people on social media often experience ableist hate and microaggressions. Prior work has shown that platform moderation often fails to remove ableist hate leaving disable…
Exploring Data-Driven Advocacy in Home Health Care Work
Joy Ming, Hawi H Tolera, Jiamin Tu +6
This paper explores opportunities and challenges for data-driven advocacy to support home care workers, an often overlooked group of low-wage, frontline health workers. First, we i…
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…