Copyright
According to the U.S. Copyright Office (n.d..), copyright is a type of intellectual property that protects original works of authorship as soon as an author fixes the work in a tangible form of expression (U.S. Copyright Office, n.d..). Generative AI is designed to generate content based on the input given to it. Some of the contents generated by AI may be others' original works that are protected by copyright laws and regulations. Therefore, users need to be careful and ensure that generative AI has been used in a legal manner such that the content that it generates does not violate copyright (Pavlik, 2023). Another relevant issue is whether generative AI should be given authorship (Sallam, 2023). Murray (2023) discussed generative art linked to non-fungible tokens (NFTs) and indicated that according to current U.S. copyright laws, generative art lacks copyrightability because it is generated by a non-human. The issue of AI authorship affects copyright law's underlying assumptions about creativity (Bridy, 2012).
ENTITY
1 - Human
INTENT
1 - Intentional
TIMING
2 - Post-deployment
Risk ID
mit547
Domain lineage
6. Socioeconomic and Environmental
6.3 > Economic and cultural devaluation of human effort
Mitigation strategy
1. Establish rigorous data provenance and licensing protocols for all AI training datasets to ensure compliance with intellectual property rights and incorporate effective content filtering or opt-out mechanisms for copyrighted material. 2. Mandate a policy of meaningful human oversight in the generation and finalization of AI outputs to secure copyright eligibility, coupled with mandatory post-generation screening using comparative analysis tools to detect and remediate potential infringement. 3. Conduct comprehensive due diligence on all AI model and tool vendors, prioritizing enterprise-level licenses that contractually clarify IP ownership of generated content and include provisions for warranties and indemnification against third-party copyright claims.