The U.S. Copyright Office’s Draft Report on AI Training Errs on Fair Use

Within the next decade, generative AI could join computers and electricity as one of the most transformational technologies in history, with all of the promise and peril that implies. Governments’ responses to GenAI—including new legal precedents—need to thoughtfully address real-world harms without destroying the public benefits GenAI can offer. Unfortunately, the U.S. Copyright Office’s rushed draft report on AI training misses the mark.

The Report Bungles Fair Use

Released amidst a set of controversial job terminations, the Copyright Office’s report covers a wide range of issues with varying degrees of nuance. But on the core legal question—whether using copyrighted works to train GenAI is a fair use—it stumbles badly. The report misapplies long-settled fair use principles and ultimately puts a thumb on the scale in favor of copyright owners at the expense of creativity and innovation.

To work effectively, today’s GenAI systems need to be trained on very large collections of human-created works—probably millions of them. At this scale, locating copyright holders and getting their permission is daunting for even the biggest and wealthiest AI companies, and impossible for smaller competitors. If training makes fair use of copyrighted works, however, then no permission is needed.

Right now, courts are considering dozens of lawsuits that raise the question of fair use for GenAI training. Federal District Judge Vince Chhabria is This article has been indexed from Deeplinks