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20212025
most citedNationality Bias in Text Generation

9 citations · 47 across the 16 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CY2024★ 4 cited

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…

cs.CL2024

Race and Privacy in Broadcast Police Communications

Pranav Narayanan Venkit, Christopher Graziul, Miranda Ardith Goodman +2

Radios are essential for the operations of modern police departments, and they function as both a collaborative communication technology and a sociotechnical system. However, littl…

cs.CL2024★ 7 cited

An Audit on the Perspectives and Challenges of Hallucinations in NLP

Pranav Narayanan Venkit, Tatiana Chakravorti, Vipul Gupta +5

We audit how hallucination in large language models (LLMs) is characterized in peer-reviewed literature, using a critical examination of 103 publications across NLP research. Throu…

cs.HC2024★ 6 cited

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…

cs.CR2024

Automated Detection and Analysis of Data Practices Using A Real-World Corpus

Mukund Srinath, Pranav Venkit, Maria Badillo +3

Privacy policies are crucial for informing users about data practices, yet their length and complexity often deter users from reading them. In this paper, we propose an automated a…