EFF Urges Courts Not to Rewrite Copyright Law Amid AI Hype

Courts Should Resist AI‑Driven Copyright Overhauls

Takeaway: The Electronic Frontier Foundation (EFF) is urging courts to refuse proposals that would broaden copyright to cover non‑infringing AI‑generated works, because doing so would undermine the constitutional goal of promoting creative expression.

Historical Parallel: The VCR Panic

The Supreme Court rejected 1980s claims that VCRs would destroy the film industry, emphasizing that the technology enabled legitimate uses such as time‑shifting.
The EFF draws a direct line from that decision to today’s AI debate, warning that courts repeat the mistake of reshaping copyright based on hype rather than evidence.

"The Supreme Court declined to embrace the hype, noting that the VTR was capable of all kinds of non‑infringing uses… We believe that courts now should be similarly wary about the hype surrounding AI." – EFF

The “Market Dilution” Theory Is Flawed

Rightsholders claim that AI tools will flood markets with competing works, justifying expanded copyright.
The EFF counters that copyright is designed to punish infringement, not competition. Expanding protection to non‑infringing AI outputs would erode fair use and other safeguards that prevent gatekeepers from monopolizing ideas, tropes, and styles.
Accepting market‑dilution arguments would give owners veto power over any future expression that might resemble their works.

Empirical Evidence Shows Low Infringement Risk

Research cited by the EFF indicates that the more data a model is trained on, the less any single training example influences a specific output, reducing the likelihood of direct infringement.
This undermines the premise that AI will automatically generate copies of protected works.

AI as a Creative Augmentation Tool

The EFF lists several artists who use generative AI to expand, not replace, human creativity:

Nettrice Gaskins – Afro‑futurist portraits, including an Octavia Butler piece displayed at San Francisco Airport.
Prateek Arora & Varun Gupta – Reimagining Western sci‑fi with AI.
Alex Smith – Queer, plus‑size Black superheroes in an Afrofuturist style.
Ana Miljački – AI‑generated documentary on Yugoslav WWII memorials.
Research‑creation project – AI visual art amplifying Iran’s Women’s Freedom movement.
Bronze – Collaborations with Disclosure and Jai Paul to produce songs that vary on each playback.

These examples illustrate that courts should not pre‑emptively decide which tools foster “human creativity.” Like the VCR, large language models are general‑purpose instruments whose societal impact will evolve over time.

Community Perspectives from Hacker News

Support for Broad Reform

@anonyfox argues for abolishing copyright entirely, claiming that cheap duplication drives innovation and that current royalties are negligible for most artists.
@UtopiaPunk suggests a shorter copyright term (≈20 years) to balance creator compensation with cultural enrichment.

Concerns About Fair‑Use Asymmetry

@teeray notes that AI companies exploit fair‑use loopholes at a scale never before seen, creating a perceived imbalance.

Technical and Policy Proposals

@Roark66 proposes tracking the provenance of training data and allocating royalties per inference, possibly using blockchain, to compensate original creators.
@ThePhysicist highlights that a lax fair‑use regime has enabled AI progress and that stricter enforcement could hinder scientific advancement.

Critiques of the EFF Position

@123aGa accuses the EFF of siding with big AI firms and dismissing the need for courts to evaluate artistic authenticity.
@Planktonne claims the EFF is defending commercial data hoarding rather than free information flow.

Why Courts Must Remain Neutral

Legal Consistency: The Constitution grants copyright to promote the creation of expressive works, not to grant owners control over every derivative or competing idea.
Innovation Preservation: Over‑broad protection would chill the development of tools that enable new artistic forms, academic research, and cultural dialogue.
Practical Enforcement: Determining whether an AI‑generated piece infringes on a specific work is technically complex; expanding liability would create untenable legal standards.

Conclusion

The EFF’s amicus briefs in Concord Music Group v. Anthropic and In re Mosaic LLM Litigation argue that expanding copyright to cover non‑infringing AI outputs would contradict the law’s original purpose, suppress emerging creative practices, and give disproportionate power to large rightsholders. Courts should therefore decline to rewrite copyright based on AI hype and instead allow the technology to evolve under existing legal frameworks.