75 citations · 179 across the 25 of their papers we have counts for
27 papers
From Written Response to Dialogue with AI: How Activity Format, Interaction Modality, and Language Impact Student Learning and Engagement
Deepak Varuvel Dennison, Connie Zhang, Rene Kizilcec +1
The widespread availability of LLMs is challenging written learning activities, as students can increasingly generate responses without necessarily engaging with the learning conte…
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…
Creating Group Rules with AI: Human-AI Collaboration in WhatsApp Moderation
Gauri Nayak, Farhana Shahid, Kiran Garimella +1
WhatsApp is one of the most widely used messaging platforms globally, with billions of users sharing information in private groups. Yet, it offers little infrastructure to support…
Computational Hermeneutics: Evaluating generative AI as a cultural technology
Cody Kommers, Ruth Ahnert, Maria Antoniak +35
Generative AI systems are increasingly recognized as cultural technologies, yet current evaluation frameworks often treat culture as a variable to be measured rather than fundament…
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…
Examining Human-AI Collaboration for Co-Writing Constructive Comments Online
Farhana Shahid, Maximilian Dittgen, Mor Naaman +1
This paper examines if large language models (LLMs) can help people write constructive comments on divisive social issues due to the difficulty of expressing constructive disagreem…
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…
"Cold, Calculated, and Condescending": How AI Identifies and Explains Ableism Compared to Disabled People
Mahika Phutane, Ananya Seelam, Aditya Vashistha
People with disabilities (PwD) regularly encounter ableist hate and microaggressions online. These spaces are generally moderated by machine learning models, but little is known ab…
Personalizing Prostate Cancer Education for Patients Using an EHR-Integrated LLM Agent
Yuexing Hao, Jason Holmes, Mark R. Waddle +10
Cancer patients often lack timely education and personalized support due to clinician workload. This quality improvement study develops and evaluates a Large Language Model (LLM) a…
AI Suggestions Homogenize Writing Toward Western Styles and Diminish Cultural Nuances
Dhruv Agarwal, Mor Naaman, Aditya Vashistha
Large language models (LLMs) are being increasingly integrated into everyday products and services, such as coding tools and writing assistants. As these embedded AI applications a…
ASHABot: An LLM-Powered Chatbot to Support the Informational Needs of Community Health Workers
Pragnya Ramjee, Mehak Chhokar, Bhuvan Sachdeva +5
Community health workers (CHWs) provide last-mile healthcare services but face challenges due to limited medical knowledge and training. This paper describes the design, deployment…
Global Patterns of Viral Content on WhatsApp
Kiran Garimella, Princessa Cintaqia, Juan Jose Rojas Constain +2
This paper explores the nature and spread of viral WhatsApp content among everyday users in three diverse countries: India, Indonesia, and Colombia. By analyzing hundreds of viral…
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…