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Texas Business Law · Glossary

Generative AI Output

Content produced by a generative artificial intelligence system. Under current U.S. copyright doctrine, AI-generated content lacking sufficient human creative input is not copyrightable. Works combining AI assistance with substantial human authorship remain protectable for the human-authored portions only.

Generative AI output is content, text, images, audio, video, or code, produced by an artificial intelligence system from a user prompt or input. Under current U.S. copyright doctrine, content produced by an AI system without substantial human creative input is not copyrightable. The legal framework governing ownership, allocation of risk, and use of generative AI output in commercial contexts continues to develop rapidly.

Authorship and copyrightability

Thaler v. Perlmutter (D.C. Cir. 2025) affirmed the U.S. Copyright Office's denial of registration for a work created entirely by an AI system. The court held that the Copyright Act of 1976 requires human authorship as a matter of statutory law. The Supreme Court denied certiorari in March 2026, leaving the D.C. Circuit's holding intact. The Copyright Office's January 2025 guidance further clarified that prompt engineering alone, even highly detailed iterative prompting, does not provide the human creative control necessary to establish authorship of the AI output.

Hybrid works

Works that combine AI-generated portions with substantial human authorship remain protectable, but only the human-authored portions are protected. A novel written by a human that incorporates AI-generated illustrations would be copyrightable as to the text but not as to the illustrations. The Copyright Office requires applicants to disclaim AI-generated portions during registration; failure to disclose can render the resulting registration unenforceable.

Training data and output infringement risk

Pending litigation against major AI developers raises distinct infringement questions concerning (1) the use of copyrighted material in training datasets and (2) AI outputs that closely resemble specific copyrighted works in the training data. These questions remain unresolved across the federal circuits. Texas businesses using generative AI in commercial production should treat infringement risk as live and govern accordingly through indemnification provisions in their AI vendor contracts.

Texas TRAIGA framework

The Texas Responsible Artificial Intelligence Governance Act took effect January 1, 2026. TRAIGA imposes obligations on persons and entities developing or deploying AI in Texas, amends the TDPSA to clarify processor obligations for AI-handled data, and clarifies application of the Texas Capture or Use of Biometric Identifiers Act to AI training data. Enforcement authority is vested in the Texas Attorney General.

Practical context

Texas businesses incorporating generative AI into operations should (1) document human creative contributions to any work that may be commercialized; (2) negotiate indemnification from AI vendors for infringement claims arising from outputs; (3) review TRAIGA obligations as a controller or deployer; and (4) avoid relying on copyright as the protection mechanism for AI-generated marketing assets, code, or product designs. Where copyright fails, contract, trade secret, and trademark remain viable protection layers.

Related Terms
Copyright· Work-for-Hire Doctrine· Trade Secret· Texas Data Privacy and Security Act· License Agreement
Last updated: August 14, 2026