The constitutional and statutory rule requiring natural human intellectual conception for copyright authorship, denying registration to autonomous AI outputs.
↳ Statutory Hook: U.S. Const. art. I, § 8, cl. 8 & 17 U.S.C. § 102The legal characterization of high-dimensional neural network weights, embedding vectors, and diffusion model parameter checkpoints as potential derivative works.
↳ Statutory Hook: 17 U.S.C. § 101 (Derivative Works) & § 106(2)Unanimous SCOTUS precedent repudiating sweat-of-the-brow database copyright.
Copyright requires creative originality; factual compilations lacking creative selection or arrangement are unprotectable regardless of collection labor.
Protects the extraction and computational distillation of factual knowledge, weights, and parameters from database monopolization.
Binding SCOTUS Constitutional Rule (9-0 Unanimous)
“The Supreme Court unanimously held that alphabetical white pages directories lack the requisite creative originality for copyright. Originality is a constitutional requirement requiring independent creation plus a modicum of creativity. The Court explicitly repudiated the 'sweat of the brow' doctrine.”
Rural Telephone Service published a standard white pages telephone directory containing names, towns, and telephone numbers arranged in alphabetical order. Feist Publications published an area-wide directory and copied 1,309 telephone listings from Rural's white pages without permission after Rural refused a license.
On writ of certiorari to the United States Court of Appeals for the Tenth Circuit, which had affirmed summary judgment of copyright infringement against Feist.
Issue: Whether alphabetical factual compilations (white pages telephone directories) possess sufficient original creativity to warrant copyright protection under 17 U.S.C. § 102 and § 103, and whether 'sweat of the brow' effort confers copyrightability.
Feist is the universal constitutional barrier establishing that raw data, databases, and factual information remain in the public domain regardless of investment cost. In modern AI jurisprudence, Feist establishes that raw token distributions and factual training corpora cannot be owned under copyright.
Feist Publ'ns, Inc. v. Rural Tel. Serv. Co., 499 U.S. 340 (1991).