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A new class of tools, colloquially called generative AI, can produce high-quality artistic media for visual arts, concept art, music, fiction, literature, video, and animation.
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David H Autor, Frank Levy, and Richard J Murnane · 2001
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Faces of environmental racism: Confronting issues of global justice
Laura Westra and Bill Lawson · 2001
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Justin Kruger, Derrick Wirtz, Leaf Van Boven, and T William Altermatt · 2004
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Daron Acemoglu and David Autor · 2011
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What makes online content viral?
Jonah Berger and Katherine L Milkman · 2012
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Nonprobative photographs (or words) inflate truthiness
Eryn J Newman, Maryanne Garry, Daniel M Bernstein, Justin Kantner, and D Stephen Lindsay · 2012
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Moving Innovation: A History of Computer animation
Tom Sito · 2013
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Your kid could not have done that: Even untutored observers can discern intentionality and structure in abstract expressionist art
Leslie Snapper, Cansu Oranç, Angelina Hawley-Dolan, Jenny Nissel, and Ellen Winner · 2015
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Unequal representation and gender stereotypes in image search results for occupations
Matthew Kay, Cynthia Matuszek, and Sean A Munson · 2015
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How people’s appreciation of products is affected by their knowledge of the designers’ intentions
Odette Da Silva, Nathan Crilly, and Paul Hekkert · 2015
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Copyright for literate robots
James Grimmelmann · 2015
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The handmade effect: What’s love got to do with it?
Christoph Fuchs, Martin Schreier, and Stijn MJ Van Osselaer · 2015
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Big other: surveillance capitalism and the prospects of an information civilization
Shoshana Zuboff · 2015
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Algorithms as culture: Some tactics for the ethnography of algorithmic systems
Nick Seaver · 2017
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Men also like shopping: Reducing gender bias amplification using corpus-level constraints
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, and Kai-Wei Chang · 2017
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No classification without representation: Assessing geodiversity issues in open data sets for the developing world
Shreya Shankar, Yoni Halpern, Eric Breck, James Atwood, Jimbo Wilson, and D Sculley · 2017
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Mode regularized generative adversarial networks
Tong Che, Yanran Li, Athul Jacob, Yoshua Bengio, and Wenjie Li · 2017
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Artificial intelligence’s fair use crisis
Benjamin LW Sobel · 2017
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Automation in everyday life
Aaron Smith and Monica Anderson · 2017
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The future of employment: How susceptible are jobs to computerisation?
Carl Benedikt Frey and Michael A Osborne · 2017
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Emotion shapes the diffusion of moralized content in social networks
William J Brady, Julian A Wills, John T Jost, Joshua A Tucker, and Jay J Van Bavel · 2017
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Can computers create art?
Aaron Hertzmann · 2018
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Troubling trends in machine learning scholarship
Zachary C Lipton and Jacob Steinhardt · 2018
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Meaningful human control over autonomous systems: A philosophical account
Filippo Santoni de Sio and Jeroen Van den Hoven · 2018
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Latent structure in collaboration: the case of Reddit R/place
Jérémie Rappaz, Michele Catasta, Robert West, and Karl Aberer · 2018
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AI Aesthetics
Lev Manovich · 2018
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Machine learning art: An interview with Memo Akten
Renée Zachariou · 2018
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Algorithms of oppression
Safiya Umoja Noble · 2018
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Putting the art in artificial: Aesthetic responses to computer-generated art
Rebecca Chamberlain, Caitlin Mullin, Bram Scheerlinck, and Johan Wagemans · 2018
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What can machines learn, and what does it mean for occupations and the economy?
Erik Brynjolfsson, Tom Mitchell, and Daniel Rock · 2018
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Explainable AI for designers: A human-centered perspective on mixed-initiative co-creation
Jichen Zhu, Antonios Liapis, Sebastian Risi, Rafael Bidarra, and G Michael Youngblood · 2018
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The spread of true and false news online
Soroush Vosoughi, Deb Roy, and Sinan Aral · 2018
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The rhetoric and reality of anthropomorphism in artificial intelligence
David Watson · 2019
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Moral crumple zones: Cautionary tales in human-robot interaction (pre-print)
Detecting deep-fake videos from aural and oral dynamics
Shruti Agarwal and Hany Farid · 2021
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The psychology of fake news
Gordon Pennycook and David G Rand · 2021
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Comparing information diffusion mechanisms by matching on cascade size
Jonas L Juul and Johan Ugander · 2021
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The (minimal) persuasive advantage of political video over text
Chloe Wittenberg, Ben M Tappin, Adam J Berinsky, and David G Rand · 2021
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Active divergence with generative deep learning–a survey and taxonomy
Terence Broad, Sebastian Berns, Simon Colton, and Mick Grierson · 2021
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Generative search engines: Initial experiments
Simon Colton, Amy Smith, Sebastian Berns, Ryan Murdock, and Michael Cook · 2021
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Madeleine Clare Elish · 2019
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Artist in the cloud: Towards an autonomous artist
Gene Kogan · 2019
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Fairness and Machine Learning: Limitations and Opportunities
Solon Barocas, Moritz Hardt, and Arvind Narayanan · 2019
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Bias correction of learned generative models via likelihood-free importance weighting
Aditya Grover, Jiaming Song, Ashish Kapoor, Kenneth Tran, Alekh Agarwal, Eric Horvitz, and Stefano Ermon · 2019
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Toward understanding the impact of artificial intelligence on labor
Morgan R Frank, David Autor, James E Bessen, Erik Brynjolfsson, Manuel Cebrian, David J Deming, Maryann Feldman, Matthew Groh, José Lobo, Esteban Moro, et al · 2019
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The technology trap
Carl Benedikt Frey · 2019
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Deep fakes: A looming challenge for privacy, democracy, and national security
Bobby Chesney and Danielle Citron · 2019
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Co-creation and ownership for ai radio
Skylar Gordon, Robert Mahari, Manaswi Mishra, and Ziv Epstein · 2022
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At the intersection of deep learning and conceptual art: The end of signature
Divya Shanmugam, Katie Lewis, Jose Javier Gonzalez-Ortiz, Agnieszka Kurant, and John Guttag · 2022
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Understanding and creating art with AI: Review and outlook
Eva Cetinic and James She · 2022
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In the eye of the beholder: A viewer-defined conception of online visual creativity
Laura Mariah Herman and Angel Hsing-Chi Hwang · 2022
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Design guidelines for prompt engineering text-to-image generative models
Vivian Liu and Lydia B Chilton · 2022
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Studying bias in GANs through the lens of race
Vongani H. Maluleke, Neerja Thakkar, Tim Brooks, Ethan Weber, Trevor Darrell, Alexei A. Efros, Angjoo Kanazawa, and Devin Guillory · 2022
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Chokepoint Capitalism: How Big Tech and Big Content Captured Creative Labor Markets and How We’ll Win Them Back
Rebecca Giblin and Cory Doctorow · 2022
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Influencer creep
Sophie Bishop · 2022
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A deeper look into the EU text and data mining exceptions: harmonisation, data ownership, and the future of technology
Thomas Margoni and Martin Kretschmer · 2022
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Diffusion art or digital forgery? Investigating data replication in diffusion models
Gowthami Somepalli, Vasu Singla, Micah Goldblum, Jonas Geiping, and Tom Goldstein · 2022
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Invasive diffusion: How one unwilling illustrator found herself turned into an AI model, 2022
Andy Baio · 2022
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Bias and feedback loops in music recommendation: Studies on record label impact
Peter Knees, Andres Ferraro, and Moritz Hübler · 2022
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Architecture in the Age of Artificial Intelligence: An introduction to AI for architects
Neil Leach · 2022
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C2PA: the world’s first industry standard for content provenance
Leonard Rosenthol · 2022
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Identifying the context shift between test benchmarks and production data
Matthew Groh · 2022
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Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms
Matyáš Boháček and Hany Farid · 2022
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Quantifying attention via dwell time and engagement in a social media browsing environment
Ziv Epstein, Hause Lin, Gordon Pennycook, and David Rand · 2022
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Deepfake detection by human crowds, machines, and machine-informed crowds
Matthew Groh, Ziv Epstein, Chaz Firestone, and Rosalind Picard · 2022
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Creating, using, misusing, and detecting deep fakes
Hany Farid · 2022
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Seeding diversity into AI art
Marvin Zammit, Antonios Liapis, and Georgios N Yannakakis · 2022
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Toward modeling creative processes for algorithmic painting
Aaron Hertzmann · 2022
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When happy accidents spark creativity: Bringing collaborative speculation to life with generative AI
Ziv Epstein, Hope Schroeder, and Dava Newman · 2022
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History of photography
Andy Grundberg, Helmut Erich Robert Gernsheim, Beaumont Newhall, and Naomi. Rosenblum · 2023
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Artificial intelligence: The effect of AI disclosure on evaluations of creative content
Manav Raj, Justin Berg, and Rob Seamans · 2023
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Is writing prompts really making art?
Jon McCormack, Camilo Cruz Gambardella, Nina Rajcic, Stephen James Krol, Maria Teresa Llano, and Meng Yang · 2023
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Trash to treasure: Using text-to-image models to inform the design of physical artefacts
Amy Smith, Hope Schroeder, Ziv Epstein, Mike Cook, Simon Colton, and Andrew Lippman · 2023
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Stable bias: Analyzing societal representations in diffusion models
Alexandra Sasha Luccioni, Christopher Akiki, Margaret Mitchell, and Yacine Jernite · 2023
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Foundation models and fair use
Peter Henderson, Xuechen Li, Dan Jurafsky, Tatsunori Hashimoto, Mark A Lemley, and Percy Liang · 2023
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Generative ai and the digital commons
Saffron Huang and Divya Siddarth · 2023
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Extracting training data from diffusion models
Nicholas Carlini, Jamie Hayes, Milad Nasr, Matthew Jagielski, Vikash Sehwag, Florian Tramer, Borja Balle, Daphne Ippolito, and Eric Wallace · 2023
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Glaze: Protecting artists from style mimicry by text-to-image models
Shawn Shan, Jenna Cryan, Emily Wenger, Haitao Zheng, Rana Hanocka, and Ben Y Zhao · 2023
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Josh A Goldstein, Girish Sastry, Micah Musser, Renee DiResta, Matthew Gentzel, and Katerina Sedova · 2023
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The social media context interferes with truth discernment
Ziv Epstein, Nathaniel Sirlin, Antonio Arechar, Gordon Pennycook, and David Rand · 2023
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Co-writing with opinionated language models affects users’ views
Maurice Jakesch, Advait Bhat, Daniel Buschek, Lior Zalmanson, and Mor Naaman · 2023
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Generating harms: Generative AI’s impact & paths forward
Grant Fergusson, Caitriona Fitzgerald, Chris Frascella, Megan Iorio, Tom McBrien, Calli Schroeder, Ben Winters, and Enid Zhou · 2023
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