Law Commons^™

Artificial Intelligence And Transformative Use After Warhol, Gary Myers

Washington and Lee Law Review Online

The Supreme Court’s recent decision in Andy Warhol Foundation for the Visual Arts, Inc. v. Goldsmith clarifies the scope of transformative use and the role of these uses in the fair use analysis. This important case has implications for a fair use analysis of artificial intelligence. This article evaluates the interaction between copyright law’s fair use doctrine and typical sources and uses for artificial intelligence. In other words, the article will assess whether or not the use of copyrighted material to “train” AI programs—AI inputs—and the products of AI programs—AI outputs—are likely to found to be transformative in light of …

Trademarks In An Algorithmic World, Christine Haight Farley

Washington Law Review

According to the sole normative foundation for trademark protection—“search costs” theory—trademarks transmit useful information to consumers, enabling an efficient marketplace. The marketplace, however, is in the midst of a fundamental change. Increasingly, retail is virtual, marketing is data-driven, and purchasing decisions are automated by AI. Predictive analytics are changing how consumers shop. Search costs theory no longer accurately describes the function of trademarks in this marketplace. Consumers now have numerous digital alternatives to trademarks that more efficiently provide them with increasingly accurate product information. Just as store shelves are disappearing from consumers’ retail experience, so are trademarks disappearing from their …

Training Is Everything: Artificial Intelligence, Copyright, And “Fair Training”, Andrew W. Torrance, Bill Tomlinson

Dickinson Law Review (2017-Present)

In this Essay, we analyze the arguments in favor of, and against, viewing the use of copyrighted works in training sets for AI as fair use. We call this form of fair use “fair training.” We identify both strong and spurious arguments on both sides of this debate. In addition, we attempt to take a broader perspective, weighing the societal costs (e.g., replacement of certain forms of human employment) and benefits (e.g., the possibility of novel AI-based approaches to global issues such as environmental disruption) of allowing AI to make easy use of copyrighted works as training sets to facilitate …

Fair’S Fair: How Public Benefit Considerations In The Fair Use Doctrine Can Patch Bias In Artificial Intelligence Systems, Patrick K. Lin

Indiana Journal of Law and Social Equality

The impact of artificial intelligence (AI) expands relentlessly despite well documented examples of bias in AI systems, from facial recognition failing to differentiate between darker-skinned faces to hiring tools discriminating against female candidates. These biases can be introduced to AI systems in a variety of ways; however, a major source of bias is found in training datasets, the collection of images, text, audio, or information used to build and train AI systems. This Article first grapples with the pressure copyright law exerts on AI developers and researchers to use biased training data to build algorithms, focusing on the potential risk …

Thaler V. Vidal, 43 F.4th 1207 (Fed. Cir. 2022), Matthew Messina

DePaul Journal of Art, Technology & Intellectual Property Law

No abstract provided.

Aclu V. Clearview Ai, Inc.,, Isra Ahmed

DePaul Journal of Art, Technology & Intellectual Property Law

No abstract provided.

The Perks Of Being Human, Max Stul Oppenheimer

Washington and Lee Law Review Online

The power of artificial intelligence has recently entered the public consciousness, prompting debates over numerous legal issues raised by use of the tool. Among the questions that need to be resolved is whether to grant intellectual property rights to copyrightable works or patentable inventions created by a machine, where there is no human intervention sufficient to grant those rights to the human. Both the U. S. Copyright Office and the U. S. Patent and Trademark Office have taken the position that in cases where there is no human author or inventor, there is no right to copyright or patent protection. …

Copyright Throughout A Creative Ai Pipeline, Sancho Mccann

Canadian Journal of Law and Technology

Consider the following fact pattern.

Alex paints some original works on canvas and posts photos of them online. Becca downloads those images and uses them to train an AI (training configures the AI’s model parameters to useful values). Becca posts the resulting trained parameter values on her website under a license that reserves to Becca the right to use the parameters commercially. Cory uses those parameter values in a program that is designed to produce artwork. Cory clicks create and the program produces a work. This work is new to Cory, but it looks a lot like one of Alex’s …