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Machine-generated artworks are now part of the contemporary art scene: they are attracting significant investments and they are presented in exhibitions together with those created by human artists.
Language Models are Few-Shot Learners
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GhostWriter: Using an LSTM for Automatic Rap Lyric Generation
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Deep-speare: A joint neural model of poetic language, meter and rhyme
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The Economic Rationale of Copyright
Hurt, R. M. and Schuchman, R. M. (1966) · 1966
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Can a Computer be an Author - Copyright Aspects of Artificial Intelligence
Butler, T. L. (1982) · 1982
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Allocating Ownership Rights in Computer-Generated Works
Samuelson, P. (1986) · 1986
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Copyrightability of Computer-Created Works
Farr, E. H. (1989) · 1989
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Copyright Protection for Computer Programs, Databases, and Computer-Generated Works: Is Anything New Since CONTU?
Miller, A. R. (1993) · 1993
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From Video Games to Artificial Intelligence: Assigning Copyright Ownership to Works Generated by Increasingly Sophisticated Computer Programs
Wu, A. J. (1997) · 1997
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Copyrights in Computer-Generated Works: Whom, if Anyone, Do We Reward?
Glasser, D. (2001) · 2001
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Feist Goes Global: A Comparative Analysis of the Notion of Originality in Copyright Law
Gervais, D. J. (2002) · 2002
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Fair Use and Market Failure: Sony Revisited
Lunney, G. S. J. (2002) · 2002
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“Fairest of them All” and Other Fairy Tales of Fair Use
Nimmer, D. (2003) · 2003
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Free Culture: How Big Media Uses Technology and the Law to Lock down Culture and Control Creativity
Lessig, L. (2004) · 2004
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Copyright in Computer-Composed Music: HAL Meets Handel
Ralston, W. T. (2004) · 2004
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Fixing Fair Use
Carroll, M. W. (2007) · 2007
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Creativity Versus the Perception of Creativity in Computational Systems
Colton, S. (2008) · 2008
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Copyright’s Paradox
Netanel, N. W. (2008) · 2008
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Unbundling Fair Uses
Samuelson, P. (2009) · 2009
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Making Sense of Fair Use
Netanel, N. W. (2011) · 2011
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Coding Creativity: Copyright and the Artificially Intelligent Author
Bridy, A. (2012) · 2012
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Taming Transformers for High-Resolution Image Synthesis
Esser, P., Rombach, R., and Ommer, B. (2021) · 2012
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Representation Learning: A Review and New Perspectives
Bengio, Y., Courville, A., and Vincent, P. (2013) · 2013
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The Algorithmic Foundations of Differential Privacy
Dwork, C. and Roth, A. (2014) · 2014
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Fair Use for Free, or Permitted-but-Paid?
Ginsburg, J. C. (2014) · 2014
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Generative Adversarial Nets
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y. (2014) · 2014
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Auto-Encoding Variational Bayes
Kingma, D. P. and Welling, M. (2014) · 2014
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Study on the Legal Framework of Text and Data Mining (TDM)
Triaille, J.-P., d’Argenteuil, J. d. M., and de Francquen, A. (2014) · 2014
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Chinese Poetry Generation with Recurrent Neural Networks
Zhang, X. and Lapata, M. (2014) · 2014
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The Resolution of the European Parliament of 9 July 2015: Paving the Way (finally) for a Copyright Reform in the European Union?
Geiger, C., Bulayenko, O., Hassler, T., Izyumenko, E., Schonherr, F., and Seuba, X. (2015) · 2015
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DRAW: A Recurrent Neural Network For Image Generation
Gregor, K., Danihelka, I., Graves, A., Rezende, D., and Wierstra, D. (2015) · 2015
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The Unreasonable Effectiveness of Recurrent Neural Networks
Karpathy, A. (2015) · 2015
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Inceptionism: Going Deeper into Neural Networks
Mordvintsev, A., Olah, C., and Tyka, M. (2015) · 2015
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Visual Privacy Protection Methods: A Survey
Padilla-López, J., Chaaraoui, A., and Flórez-Revuelta, F. (2015) · 2015
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Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Bolukbasi, T., Chang, K.-W., Zou, J., Saligrama, V., and Kalai, A. (2016) · 2016
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Emergent Works
Boyden, B. E. (2016) · 2016
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Ex machina: Copyright protection for computer-generated works
Denicola, R. C. (2016) · 2016
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Deep Learning
Goodfellow, I., Bengio, Y., and Courville, A. (2016) · 2016
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Generating Music by Fine-Tuning Recurrent Neural Networks with Reinforcement Learning
Jaques, N., Gu, S., Turner, R. E., and Eck, D. (2016) · 2016
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Music transcription modelling and composition using deep learning
Sturm, B. L., Santos, J. F., Ben-Tal, O., and Korshunova, I. (2016) · 2016
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WaveNet: A Generative Model for Raw Audio
Van Den Oord, A., Dieleman, S., Zen, H., Simonyan, K., Vinyals, O., Graves, A., Kalchbrenner, N., Senior, A., and Kavukcuoglu, K. (2016a) · 2016
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Pixel Recurrent Neural Networks
Van Den Oord, A., Kalchbrenner, N., and Kavukcuoglu, K. (2016b) · 2016
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EU copyright protection of works created by artificial intelligence systems
Bohlen, H. M. (2017) · 2017
Cited alongside, same era.
Deep Creations: Intellectual Property and the Automata
GANSynth: Adversarial Neural Audio Synthesis
Engel, J., Agrawal, K. K., Chen, S., Gulrajani, I., Donahue, C., and Roberts, A. (2019) · 2019
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Generative Deep Learning
Foster, D. (2019) · 2019
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I, Artist. Opere d’arte e intelligenza artificiale. Il curioso caso del diritto d’autore
Franceschelli, G. (2019) · 2019
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Music Transformer
Huang, C.-Z. A., Vaswani, A., Uszkoreit, J., Simon, I., Hawthorne, C., Shazeer, N., Dai, A. M., Hoffman, M. D., Dinculescu, M., and Eck, D. (2019) · 2019
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A Style-Based Generator Architecture for Generative Adversarial Networks
Karras, T., Laine, S., and Aila, T. (2019) · 2019
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AI Can Create Art, but Can It Own Copyright in It, or Infringe?
Ligon, S. E. (2019) · 2019
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alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Deltorn, J.-M. (2017) · 2017
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CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms
Elgammal, A., Liu, B., Elhoseiny, M., and Mazzone, M. (2017) · 2017
Cited alongside, same era.
Do Androids Dream of Electric Copyright? Comparative Analysis of Originality in Artificial Intelligence Generated Works
Guadamuz, A. (2017) · 2017
Cited alongside, same era.
Questions of Intellectual Property in the Artificial Intelligence Realm
Gurkaynak, G., Yilmaz, I., Doygun, T., and Ince, E. (2017) · 2017
Cited alongside, same era.
DeepBach: A Steerable Model for Bach Chorales Generation
Hadjeres, G., Pachet, F., and Nielsen, F. (2017) · 2017
Cited alongside, same era.
Position Statement of the Max Planck Institute for Innovation and Competition on the Proposed Modernisation of European Copyright Rules Part B Exceptions and Limitations (Art. 3 – Text and Data Mining)
Hilty, R. and Richter, H. (2017) · 2017
Cited alongside, same era.
Artificial Intelligence and the Copyright Dilemma
Hristov, K. (2017) · 2017
Cited alongside, same era.
PPGAN: Privacy-Preserving Generative Adversarial Network
Liu, Y., Peng, J., Yu, J. J., and Wu, Y. (2019) · 2019
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How Algorithms Can Seem Racist
O’Leary, D. (2019) · 2019
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What if Artificial Intelligence Wrote This? Artificial Intelligence and Copyright Law
Palace, V. M. (2019) · 2019
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Language models are unsupervised multitask learners
Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., Sutskever, I., et al. (2019) · 2019
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Of Data Rights and Boundaries: Text and Data Mining under EU copyright law
Riedo, M. (2019) · 2019
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Copyright as an Obstacle or an Enabler? A European Perspective on Text and Data Mining and its Role in the Development of AI Creativity
Rosati, E. (2019) · 2019
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The New Legal Landscape for Text Mining and Machine Learning
Sag, M. (2019) · 2019
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Artificial Intelligence and Music: Open Questions of Copyright Law and Engineering Praxis
Sturm, B. L., Iglesias, M., Ben-Tal, O., Miron, M., and Gomez, E. (2019) · 2019
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Towards Generating Image Assets Through Deep Learning for Game Development
Tilson, A. and Gelowitz, C. M. (2019) · 2019
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Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection
Wu, B., Zhao, S., Chen, C., Xu, H., Wang, L., Zhang, X., Sun, G., and Zhou, J. (2019) · 2019
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GANobfuscator: Mitigating Information Leakage Under GAN via Differential Privacy
Xu, C., Ren, J., Zhang, D., Zhang, Y., Qin, Z., and Ren, K. (2019) · 2019
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Self-Attention Generative Adversarial Networks
Zhang, H., Goodfellow, I., Metaxas, D., and Odena, A. (2019) · 2019
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Neural Poetry: Learning to Generate Poems Using Syllables
Zugarini, A., Melacci, S., and Maggini, M. (2019) · 2019
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Is Transformative Use Eating the World?
Asay, C. D., Sloan, A., and Sobczak, D. (2020) · 2020
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Artificial Intelligence as Producer and Consumer of Copyright Works: Evaluating the Consequences of Algorithmic Creativity
Bonadio, E. and McDonagh, L. (2020) · 2020
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A Snapshot of the Frontiers of Fairness in Machine Learning
Chouldechova, A. and Roth, A. (2020) · 2020
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The Machine as Author
Gervais, D. J. (2020) · 2020
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From Leonardo to the Next Rembrandt – The Need for AI-Pessimism in the Age of Algorithms
Mezei, P. (2020) · 2020
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Intellectual Property on Works of Art Made by Artificial Intelligence
Santos, C. and Machado, A. (2020) · 2020
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A Taxonomy of Training Data: Disentangling the Mismatched Rights, Remedies, and Rationales for Restricting Machine Learning
Sobel, B. (2020) · 2020
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Conditional Image Generation with PixelCNN Decoders
Van Den Oord, A., Kalchbrenner, N., Vinyals, O., Espeholt, L., Graves, A., and Kavukcuoglu, K. (2016c) · 2020
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Electric Dreams of Ukiyo: A Series of Japanese Artworks Created by an Artificial Intelligence
Vernier, G., Caselles-Dupré, H., and Fautrel, P. (2020) · 2020
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Inclusive GAN: Improving Data and Minority Coverage in Generative Models
Yu, N., Li, K., Zhou, P., Malik, J., Davis, L., and Fritz, M. (2020) · 2020
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Bandy, J. and Vincent, N. (2021) · 2021
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Creativity and Machine Learning: A Survey
Franceschelli, G. and Musolesi, M. (2021) · 2021
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Is GitHub’s Copilot potentially infringing copyright?
Guadamuz, A. (2021) · 2021
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Deep learning for procedural content generation
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Learning Transferable Visual Models From Natural Language Supervision
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Zero-shot text-to-image generation
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Alien Dreams: An Emerging Art Scene
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GitHub Copilot: Parrot or Crow?
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