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Our research investigates the impact of Generative Artificial Intelligence (GAI) models, specifically text-to-image generators (T2Is), on the representation of non-Western cultures, with a focus on Indian contexts.
Problems of a Bengali Film Maker
Ray, S. 1958 · 1958
Earlier work this paper cites.
Discovery of grounded theory: Strategies for qualitative research
Glaser, B.; and Strauss, A. 1967 · 1967
Earlier work this paper cites.
Sociotechnical systems
Cooper, R.; and Foster, M. 1971 · 1971
Earlier work this paper cites.
Orientalism
Said, E. W. 1977 · 1977
Earlier work this paper cites.
Culture and colonisation: view from the North
Foster, J. W. 1988 · 1986
Earlier work this paper cites.
‘Situated Knowledges: The Science Question in Feminism and the Privilege of Partial Perspective’
Haraway, D. 1988 · 1988
Earlier work this paper cites.
Cultural identity and cinematic representation
Hall, S. 1989 · 1989
Earlier work this paper cites.
Basics of grounded theory analysis: Emergence vs forcing
Glaser, B. 1992 · 1992
Earlier work this paper cites.
Using focus groups to facilitate culturally anchored research
Hughes, D.; and DuMont, K. 1993 · 1993
Earlier work this paper cites.
Representing the social: France and frenchness in post-war humanist photography
Hamilton, P. 1997 · 1997
Earlier work this paper cites.
The devil’s advocate: A strategy to avoid groupthink and stimulate discussion in focus groups
MacDougall, C.; and Baum, F. 1997 · 1997
Earlier work this paper cites.
Indian traditions and the Western imagination
Sen, A. 1997 · 1997
Earlier work this paper cites.
Good Muslim, bad Muslim: A political perspective on culture and terrorism
Mamdani, M. 2002 · 2002
Earlier work this paper cites.
Challenges and strategies for conducting survey and focus group research with culturally diverse groups
Huer, M. B.; and Saenz, T. I. 2003 · 2003
Earlier work this paper cites.
Mapping cultural diversity within India: A meta-analysis of some recent studies
Panda, A.; and Gupta, R. K. 2004 · 2004
Earlier work this paper cites.
Constructing grounded theory: A practical guide through qualitative analysis
Charmaz, K. 2006 · 2006
Earlier work this paper cites.
Literature review: considerations in undertaking focus group research with culturally and linguistically diverse groups
Halcomb, E. J.; Gholizadeh, L.; DiGiacomo, M.; Phillips, J.; and Davidson, P. M. 2007 · 2007
Earlier work this paper cites.
Imagining Indian Muslims: Looking through the lens of Bollywood cinema
Islam, M. 2007 · 2007
Earlier work this paper cites.
From Bollywood to Hollywood: the globalization of Hindi cinema
Trivedi, H. 2008 · 2008
Earlier work this paper cites.
Snake charmers and child brides: Deepa Mehta’s Water,‘exotic’representation, and the cross-cultural spectatorship of South Asian migrant cinema
Chaudhuri, S. 2009 · 2009
Earlier work this paper cites.
Stereotypes in social psychology: The “West-East “differentiation as a reflection of Western traditions of thought
Chakkarath, P. 2010 · 2010
Earlier work this paper cites.
2011 Census Report
Chandramouli, C. 2011 · 2011
Earlier work this paper cites.
Talking Back to ‘Bollywood’: Hindi Commercial Cinema in North-East India
Hasan, D. 2011 · 2011
Earlier work this paper cites.
The Bollywood in Indian and American perceptions: A comparative analysis
Matusitz, J.; and Payano, P. 2011 · 2011
Earlier work this paper cites.
Bollywood and globalization: Indian popular cinema, nation, and diaspora
Mehta, R. B.; and Pandharipande, R. V. 2011 · 2011
Earlier work this paper cites.
Culturally responsive focus groups: Reframing the research experience to focus on participants
Rodriguez, K. L.; Schwartz, J. L.; Lahman, M. K.; and Geist, M. R. 2011 · 2011
Earlier work this paper cites.
Globalisation of popular culture: From Hollywood to Bollywood
Matusitz, J.; and Payano, P. 2012 · 2012
Cited alongside, same era.
Constructing the Nation’s Enemy: Hindutva, popular culture and the Muslim ‘other’in Bollywood cinema
Kumar, S. 2013 · 2013
Cited alongside, same era.
Man is to computer programmer as woman is to homemaker? debiasing word embeddings
Bolukbasi, T.; Chang, K.-W.; Zou, J. Y.; Saligrama, V.; and Kalai, A. T. 2016 · 2016
Cited alongside, same era.
The problem with bias: Allocative versus representational harms in machine learning
Barocas, S.; Crawford, K.; Shapiro, A.; and Wallach, H. 2017 · 2017
Cited alongside, same era.
Semantics derived automatically from language corpora contain human-like biases
Caliskan, A.; Bryson, J. J.; and Narayanan, A. 2017 · 2017
Cited alongside, same era.
Constructivist grounded theory
Cultural incongruencies in artificial intelligence
Prabhakaran, V.; Qadri, R.; and Hutchinson, B. 2022 · 2022
Later among the works it cites.
Sociotechnical harms: Scoping a taxonomy for harm reduction. arXiv
Shelby, R.; Rismani, S.; Henne, K.; Moon, A.; Rostamzadeh, N.; Nicholas, P.; Yilla, N.; Gallegos, J.; Smart, A.; Garcia, E.; et al. 2022 · 2022
Later among the works it cites.
Black Influencers: Interrogating the Racialization and Commodification of Digital Labor
Stevens, W. E. 2022 · 2022
Later among the works it cites.
“Just Like Everyone Else:” queer representation in postmillennial bollywood
Arora, A.; and Sylvia, N. P. 2023 · 2023
Later among the works it cites.
Easily accessible text-to-image generation amplifies demographic stereotypes at large scale
Bianchi, F.; Kalluri, P.; Durmus, E.; Ladhak, F.; Cheng, M.; Nozza, D.; Hashimoto, T.; Jurafsky, D.; Zou, J.; and Caliskan, A. 2023 · 2023
Later among the works it cites.
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Charmaz, K. 2017 · 2017
Cited alongside, same era.
Cinematic regimes of otherness: India and its Northeast
Dowerah, S.; and Nath, D. P. 2017 · 2017
Cited alongside, same era.
Weapons of math destruction: How big data increases inequality and threatens democracy
O’neil, C. 2017 · 2017
Cited alongside, same era.
Comparative study on classical dances: Odissi & Bharatanatyam
Pattnaik, S.; and Samantaray, S. P. 2017 · 2017
Cited alongside, same era.
Textiles as communicating links for cultural traditions
Deepshikha; Yammiyavar, P.; and Nath, N. 2018 · 2018
Cited alongside, same era.
Muslim Characters in Bollywood Cinema: Representation and Reality
Bhat, S. H. 2019 · 2019
Cited alongside, same era.
The risk of racial bias in hate speech detection
Sap, M.; Card, D.; Gabriel, S.; Choi, Y.; and Smith, N. A. 2019 · 2019
Cited alongside, same era.
Generative AI at work
Brynjolfsson, E.; Li, D.; and Raymond, L. R. 2023 · 2023
Later among the works it cites.
The AI startup outperforming Google Translate in Ethiopian languages
Deck, A. 2023 · 2023
Later among the works it cites.
” I wouldn’t say offensive but…”: Disability-Centered Perspectives on Large Language Models
Gadiraju, V.; Kane, S.; Dev, S.; Taylor, A.; Wang, D.; Denton, E.; and Brewer, R. 2023 · 2023
Later among the works it cites.
Out of Context: Investigating the Bias and Fairness Concerns of “Artificial Intelligence as a Service”
Lewicki, K.; Lee, M. S. A.; Cobbe, J.; and Singh, J. 2023 · 2023
Later among the works it cites.
AI’s Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia
Qadri, R.; Shelby, R.; Bennett, C. L.; and Denton, E. 2023 · 2023
Later among the works it cites.
Contribution and performance of ChatGPT and other Large Language Models (LLM) for scientific and research advancements: a double-edged sword
Rane, N. L.; Tawde, A.; Choudhary, S. P.; and Rane, J. 2023 · 2023
Later among the works it cites.
WEIRD FAccTs: How Western, Educated, Industrialized, Rich, and Democratic is FAccT?
Septiandri, A. A.; Constantinides, M.; Tahaei, M.; and Quercia, D. 2023 · 2023
Later among the works it cites.
The Sentiment Problem: A Critical Survey towards Deconstructing Sentiment Analysis
Venkit, P.; Srinath, M.; Gautam, S.; Venkatraman, S.; Gupta, V.; Passonneau, R. J.; and Wilson, S. 2023a · 2023
Later among the works it cites.
Towards a Holistic Approach: Understanding Sociodemographic Biases in NLP Models using an Interdisciplinary Lens
Venkit, P. N. 2023 · 2023
Later among the works it cites.
Unmasking nationality bias: A study of human perception of nationalities in ai-generated articles
Venkit, P. N.; Gautam, S.; Panchanadikar, R.; Huang, T.-H.; and Wilson, S. 2023c · 2023
Later among the works it cites.
Automated Ableism: An Exploration of Explicit Disability Biases in Sentiment and Toxicity Analysis Models
Venkit, P. N.; Srinath, M.; and Wilson, S. 2023 · 2023
Later among the works it cites.
Coding Inequity: Assessing GPT-4’s Potential for Perpetuating Racial and Gender Biases in Healthcare
Zack, T.; Lehman, E.; Suzgun, M.; Rodriguez, J. A.; Celi, L. A.; Gichoya, J.; Jurafsky, D.; Szolovits, P.; Bates, D. W.; Abdulnour, R.-E. E.; et al. 2023 · 2023
Later among the works it cites.
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Preventing harm from non-conscious bias in medical generative AI
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“They only care to show us the wheelchair”: Disability Representation in text-to-image AI models
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How A.I. Tools Could Change India’s Elections
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