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2020 – today
- 2024
[c6]Yaaseen Mahomed
, Charlie M. Crawford, Sanjana Gautam, Sorelle A. Friedler, Danaë Metaxa:
Auditing GPT's Content Moderation Guardrails: Can ChatGPT Write Your Favorite TV Show? FAccT 2024: 660-686- [i10]Sanjana Gautam, Pranav Narayanan Venkit, Sourojit Ghosh:
From Melting Pots to Misrepresentations: Exploring Harms in Generative AI. CoRR abs/2403.10776 (2024) - [i9]Sanjana Gautam, Mukund Srinath:
Blind Spots and Biases: Exploring the Role of Annotator Cognitive Biases in NLP. CoRR abs/2404.19071 (2024) - [i8]Sourojit Ghosh, Pranav Narayanan Venkit, Sanjana Gautam, Shomir Wilson, Aylin Caliskan:
Do Generative AI Models Output Harm while Representing Non-Western Cultures: Evidence from A Community-Centered Approach. CoRR abs/2407.14779 (2024) - 2023
- [c5]Pranav Narayanan Venkit, Sanjana Gautam, Ruchi Panchanadikar, Ting-Hao Kenneth Huang, Shomir Wilson:
Unmasking Nationality Bias: A Study of Human Perception of Nationalities in AI-Generated Articles. AIES 2023: 554-565 - [c4]Sanjana Gautam, Mary Beth Rosson, Mahir Akgun:
Exploring Potential Contributions of Social Learning to Adaptive Learning Systems. CHI Extended Abstracts 2023: 119:1-119:6 - [c3]Pranav Narayanan Venkit, Sanjana Gautam, Ruchi Panchanadikar, Ting-Hao K. Huang, Shomir Wilson:
Nationality Bias in Text Generation. EACL 2023: 116-122 - [c2]Pranav Venkit, Mukund Srinath, Sanjana Gautam, Saranya Venkatraman, Vipul Gupta, Rebecca J. Passonneau, Shomir Wilson:
The Sentiment Problem: A Critical Survey towards Deconstructing Sentiment Analysis. EMNLP 2023: 13743-13763 - [c1]Sanjana Gautam, Mahir Akgun, Prasenjit Mitra:
Exploring the challenges of AI experts to inform AI curriculum. SIGCSE (2) 2023: 1338 - [i7]Pranav Narayanan Venkit, Sanjana Gautam, Ruchi Panchanadikar, Ting-Hao K. Huang, Shomir Wilson:
Nationality Bias in Text Generation. CoRR abs/2302.02463 (2023) - [i6]Pranav Narayanan Venkit, Sanjana Gautam, Ruchi Panchanadikar, Ting-Hao Kenneth Huang, Shomir Wilson:
Unmasking Nationality Bias: A Study of Human Perception of Nationalities in AI-Generated Articles. CoRR abs/2308.04346 (2023) - [i5]Pranav Narayanan Venkit, Mukund Srinath, Sanjana Gautam, Saranya Venkatraman, Vipul Gupta, Rebecca J. Passonneau, Shomir Wilson:
The Sentiment Problem: A Critical Survey towards Deconstructing Sentiment Analysis. CoRR abs/2310.12318 (2023) - [i4]Chieh-Yang Huang, Sanjana Gautam, Shannon McClellan Brooks, Ya-Fang Lin, Ting-Hao Kenneth Huang:
Inspo: Writing Stories with a Flock of AIs and Humans. CoRR abs/2311.16521 (2023) - [i3]Rishika Dwaraghanath, Rahul Majethia, Sanjana Gautam:
ECHO: An Automated Contextual Inquiry Framework for Anonymous Qualitative Studies using Conversational Assistants. CoRR abs/2312.07576 (2023) - 2022
- [i2]Guillermo Romera Rodriguez, Sanjana Gautam, Andrea H. Tapia:
Understanding Twitters behavior during the pandemic: Fake News and Fear. CoRR abs/2202.05134 (2022) - [i1]Sanjana Gautam:
In Alexa, We Trust. Or Do We? : An analysis of People's Perception of Privacy Policies. CoRR abs/2209.00086 (2022) - 2021
- [j2]Sanjana Gautam, Mary Beth Rosson:
Exploring Feelings of Student Community across a Geographically Distributed University. Proc. ACM Hum. Comput. Interact. 5(CSCW1): 93:1-93:16 (2021)
2010 – 2019
- 2019
- [j1]Samant Saurabh, Sanjana Gautam:
Modelling and statistical analysis of YouTube's educational videos: A channel Owner's perspective. Comput. Educ. 128: 145-158 (2019)
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