Artificial Intelligence's Fair Use Crisis

By B. Sobel. 2017

78 citations recorded by the source corpus.

Subfields: AI Ethics, Fairness & Society, Philosophy

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In AI Ethics, Fairness & Society

1. Percy Liang
2. Dan Jurafsky
3. Mark A. Lemley
4. Tatsunori B. Hashimoto
5. Xuechen Li
6. Peter Henderson

In Philosophy

1. Percy Liang
2. Dan Jurafsky
3. Tatsunori B. Hashimoto

Citations in the corpus

• Foundation Models and Fair Use (2023, background): “For generative models like DALL-E or GPT that produce creative outputs, the situation is less likely to be problematic if the outputs do not copy a substantial portion of any existing work but instead transform the input into totally different outputs, in line with the fair use doctrine (Sobel, 2017”
• Data Governance in the Age of Large-Scale Data-Driven Language Technology (2022, neutral): “1093/idpl/ipx022 [127] Benjamin LW Sobel.”
• Copyright in generative deep learning (2021, unknown): “Sobel (2020) identifies four different categories of uses of data performed by machine learning:”