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`Scale the model, scale the data, scale the GPU-farms' is the reigning sentiment in the world of generative AI today.
Probable inference, the law of succession, and statistical inference
Wilson, E. B · 1927
Earlier work this paper cites.
The genetical theory of race, and anthropological method
Montagu, M. A · 1942
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Racist discourse and the negro-ape metaphor
Lott, T · 1999
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‘alllooksame’? mediating asian american visual cultures of race on the web
Nakamura, L., Davé, S., Nishime, L., and Oren, T. G · 2005
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Sampling from large graphs
Leskovec, J., and Faloutsos, C · 2006
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Rhetoric with humor: An analysis of Hispanic/Latino comedians’ uses of humor
Pacheco Jr, G · 2008
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Just joking? chimps, obama and racial stereotype
Apel, D · 2009
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Imagenet: A large-scale hierarchical image database
Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., and Fei-Fei, L · 2009
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Own-ethnicity bias in the recognition of black, east asian, hispanic, and white faces
Gross, T. F · 2009
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Viral hate: Containing its spread on the Internet
Foxman, A. H., and Wolf, C · 2013
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A survey and taxonomy of graph sampling
Hu, P., and Lau, W. C · 2013
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When the beautiful game turns ugly
Thompson, W · 2013
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Hate crimes in cyberspace
Citron, D. K · 2014
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The essence of innocence: consequences of dehumanizing black children
Goff, P. A., Jackson, M. C., Di Leone, B. A. L., Culotta, C. M., and DiTomasso, N. A · 2014
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Dark matters: On the surveillance of blackness
Browne, S · 2015
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The chicago face database: A free stimulus set of faces and norming data
Ma, D. S., Correll, J., and Wittenbrink, B · 2015
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Gendertrolling: How misogyny went viral: How misogyny went viral
Mantilla, K · 2015
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“bring out your dead” understanding the historical persistence of the criminalization of black bodies
Bey, M · 2016
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From “brute” to “thug:” the demonization and criminalization of unarmed black male victims in america
Smiley, C., and Fakunle, D · 2016
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The mr2: A multi-racial, mega-resolution database of facial stimuli
Strohminger, N., Gray, K., Chituc, V., Heffner, J., Schein, C., and Heagins, T. B · 2016
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Stereotyping and bias in the flickr30k dataset
Van Miltenburg, E · 2016
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Do# blacklivesmatter? implicit bias, institutional racism and fear of the black body
Chapple, R. L., Jacinto, G. A., Harris-Jackson, T. N., and Vance, M · 2017
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Automated hate speech detection and the problem of offensive language
Davidson, T., Warmsley, D., Macy, M., and Weber, I · 2017
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The latino eyelid: anthropometric analysis of a spectrum of findings
Fry, C. L., Naugle Jr, T. C., Cole, S. A., Gelfond, J., Chittoor, G., Mariani, A. F., Goros, M. W., Haik, B. G., and Voruganti, V. S · 2017
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Deep learning scaling is predictable, empirically
Hestness, J., Narang, S., Ardalani, N., Diamos, G., Jun, H., Kianinejad, H., Patwary, M., Ali, M., Yang, Y., and Zhou, Y · 2017
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Innovation and scaling for impact: How effective social enterprises do it
Seelos, C., and Mair, J · 2017
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Understanding abuse: A typology of abusive language detection subtasks
Waseem, Z., Davidson, T., Warmsley, D., and Weber, I · 2017
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Redefining vagrancy: Policing freedom and disorder in reconstruction new orleans, 1862–1868
Bardes, J. K · 2018
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Algorithms of oppression
Noble, S. U · 2018
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The bogazici face database: Standardized photographs of turkish faces with supporting materials
Saribay, S. A., Biten, A. F., Meral, E. O., Aldan, P., Třebickỳ, V., and Kleisner, K · 2018
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Race after technology: Abolitionist tools for the new jim code
Benjamin, R · 2019
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Racial bias in hate speech and abusive language detection datasets
Davidson, T., Bhattacharya, D., and Weber, I · 2019
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Enforcing race: A neighborhood-level explanation of black–white differences in drug arrests
Gaston, S · 2019
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Fairface: Face attribute dataset for balanced race, gender, and age
Kärkkäinen, K., and Joo, J · 2019
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Actionable auditing: Investigating the impact of publicly naming biased performance results of commercial ai products
Raji, I. D., and Buolamwini, J · 2019
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Superior: the return of race science
Saini, A · 2019
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The new Jim Crow: Mass incarceration in the age of colorblindness
Alexander, M · 2020
Cited alongside, same era.
Climbing towards nlu: On meaning, form, and understanding in the age of data
Bender, E. M., and Koller, A · 2020
Cited alongside, same era.
Language (technology) is power: A critical survey of” bias” in nlp
Blodgett, S. L., Barocas, S., Daumé III, H., and Wallach, H · 2020
Cited alongside, same era.
Language models are few-shot learners
Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al · 2020
Cited alongside, same era.
The pile: An 800gb dataset of diverse text for language modeling
Gao, L., Biderman, S., Black, S., Golding, L., Hoppe, T., Foster, C., Phang, J., He, H., Thite, A., Nabeshima, N., et al · 2020
Learning from the worst: Dynamically generated datasets to improve online hate detection
Vidgen, B., Thrush, T., Waseem, Z., and Kiela, D · 2021
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A survey of toxic comment classification methods
Wang, K., Yang, J., and Wu, H · 2021
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Ethical and social risks of harm from language models
Weidinger, L., Mellor, J., Rauh, M., Griffin, C., Uesato, J., Huang, P.-S., Cheng, M., Glaese, M., Balle, B., Kasirzadeh, A., et al · 2021
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Isiea: An image database of social inclusion and exclusion in young asian adults
Zheng, Z., Li, S., Mo, L., Chen, W., and Zhang, D · 2021
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Easily accessible text-to-image generation amplifies demographic stereotypes at large scale
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Cited alongside, same era.
Realtoxicityprompts: Evaluating neural toxic degeneration in language models
Gehman, S., Gururangan, S., Sap, M., Choi, Y., and Smith, N. A · 2020
Cited alongside, same era.
Against scale: Provocations and resistances to scale thinking
Hanna, A., and Park, T. M · 2020
Cited alongside, same era.
Detoxify
Hanu, L., and Unitary team · 2020
Cited alongside, same era.
Scaling laws for neural language models
Kaplan, J., McCandlish, S., Henighan, T., Brown, T. B., Chess, B., Child, R., Gray, S., Radford, A., Wu, J., and Amodei, D · 2020
Cited alongside, same era.
The delaware pain database: A set of painful expressions and corresponding norming data
Mende-Siedlecki, P., Qu-Lee, J., Lin, J., Drain, A., and Goharzad, A · 2020
Cited alongside, same era.
Online abuse and human rights: Woah satellite session at rightscon 2020
Prabhakaran, V., Waseem, Z., Akiwowo, S., and Vidgen, B · 2020
Cited alongside, same era.
How we’ve taught algorithms to see identity: Constructing race and gender in image databases for facial analysis
Scheuerman, M. K., Wade, K., Lustig, C., and Brubaker, J. R · 2020
Cited alongside, same era.
Bianchi, F., Kalluri, P., Durmus, E., Ladhak, F., Cheng, M., Nozza, D., Hashimoto, T., Jurafsky, D., Zou, J., and Caliskan, A · 2022
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Handling bias in toxic speech detection: A survey
Garg, T., Masud, S., Suresh, T., and Chakraborty, T · 2022
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Race and wrongful convictions in the united states 2022
Gross, S. R., Possley, M., Otterbourg, K., Stephens, K., Paredes, J., and O’Brien, B · 2022
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Training compute-optimal large language models
Hoffmann, J., Borgeaud, S., Mensch, A., Buchatskaya, E., Cai, T., Rutherford, E., Casas, D. d. L., Hendricks, L. A., Welbl, J., Clark, A., et al · 2022
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Li, J., Li, D., Xiong, C., and Hoi, S · 2022
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Shutterstock to integrate OpenAI’s DALL-E 2 and launch fund for contributor artists, 2022
Lomas, N · 2022
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Resisting AI: an anti-fascist approach to artificial intelligence
McQuillan, D · 2022
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The politics of scaling
Pfotenhauer, S., Laurent, B., Papageorgiou, K., and Stilgoe, J · 2022
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High-resolution image synthesis with latent diffusion models
Rombach, R., Blattmann, A., Lorenz, D., Esser, P., and Ommer, B · 2022
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Photorealistic text-to-image diffusion models with deep language understanding
Saharia, C., Chan, W., Saxena, S., Li, L., Whang, J., Denton, E. L., Ghasemipour, K., Gontijo Lopes, R., Karagol Ayan, B., Salimans, T., et al · 2022
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Laion-5b: An open large-scale dataset for training next generation image-text models
Schuhmann, C., Beaumont, R., Vencu, R., Gordon, C., Wightman, R., Cherti, M., Coombes, T., Katta, A., Mullis, C., Wortsman, M., et al · 2022
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Diffusion art or digital forgery? investigating data replication in diffusion models
Somepalli, G., Singla, V., Goldblum, M., Geiping, J., and Goldstein, T · 2022
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Spanton, R. W., and Guest, O · 2022
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Manifestations of xenophobia in ai systems, 2022
Tomasev, N., Maynard, J. L., and Gabriel, I · 2022
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Scaling autoregressive models for content-rich text-to-image generation
Yu, J., Xu, Y., Koh, J. Y., Luong, T., Baid, G., Wang, Z., Vasudevan, V., Ku, A., Yang, Y., Ayan, B. K., et al · 2022
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Inspecting the geographical representativeness of images from text-to-image models, 2023
Basu, A., Babu, R. V., and Pruthi, D · 2023
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Extracting training data from diffusion models
Carlini, N., Hayes, J., Nasr, M., Jagielski, M., Sehwag, V., Tramer, F., Balle, B., Ippolito, D., and Wallace, E · 2023
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A literature survey on multimodal and multilingual automatic hate speech identification
Chhabra, A., and Vishwakarma, D. K · 2023
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Flooded with ai-generated images, some art communities ban them completely — ars technica
EDWARDS, B · 2023
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Are we on the cusp of a generative ai revolution?
Eric Sheridan, K. R · 2023
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Uncurated image-text datasets: Shedding light on demographic bias
Garcia, N., Hirota, Y., Wu, Y., and Nakashima, Y · 2023
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Google’s photo app still can’t find gorillas. and neither can apple’s., 2023
Grant, N., and Hill, K · 2023
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Generative ai is changing everything. but what’s left when the hype is gone?
Heaven, W. D · 2023
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The generative ai revolution has begun—how did we get here? — ars technica
Huang, H · 2023
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The generative ai revolution will enable anyone to create games — andreessen horowitz
Joshua Lu, R. G · 2023
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Stable diffusion copyright lawsuits could be a legal earthquake for ai — ars technica
LEE, T. B · 2023
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Stable bias: Analyzing societal representations in diffusion models
Luccioni, A. S., Akiki, C., Mitchell, M., and Jernite, Y · 2023
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Common crawl’s first in-house web graph – common crawl
Nagel, S · 2023
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Stable diffusion ai has mastered the female form - niche gamer
Orselli, B · 2023
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Scaling laws literature review, 2023
Villalobos, P · 2023
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On the de-duplication of laion-2b
Webster, R., Rabin, J., Simon, L., and Jurie, F · 2023
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