8 citations · 21 across the 4 of their papers we have counts for
17 papers
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…
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…