31 citations · 44 across the 12 of their papers we have counts for
5 papers · 1 filter
Do Generative AI Models Output Harm while Representing Non-Western Cultures: Evidence from A Community-Centered Approach
Sourojit Ghosh, Pranav Narayanan Venkit, Sanjana Gautam +2
Our research investigates the impact of Generative Artificial Intelligence (GAI) models, specifically text-to-image generators (T2Is), on the representation of non-Western cultures…
"I don't see myself represented here at all": User Experiences of Stable Diffusion Outputs Containing Representational Harms across Gender Identities and Nationalities
Sourojit Ghosh, Nina Lutz, Aylin Caliskan
Though research into text-to-image generators (T2Is) such as Stable Diffusion has demonstrated their amplification of societal biases and potentials to cause harm, such research ha…
Interpretations, Representations, and Stereotypes of Caste within Text-to-Image Generators
Sourojit Ghosh
The surge in the popularity of text-to-image generators (T2Is) has been matched by extensive research into ensuring fairness and equitable outcomes, with a focus on how they impact…
From Melting Pots to Misrepresentations: Exploring Harms in Generative AI
Sanjana Gautam, Pranav Narayanan Venkit, Sourojit Ghosh
With the widespread adoption of advanced generative models such as Gemini and GPT, there has been a notable increase in the incorporation of such models into sociotechnical systems…
Misgendering and Assuming Gender in Machine Translation when Working with Low-Resource Languages
Sourojit Ghosh, Srishti Chatterjee
This chapter focuses on gender-related errors in machine translation (MT) in the context of low-resource languages. We begin by explaining what low-resource languages are, examinin…