Copyright
AI systems capable of creating economic or cultural value, including through reproduction of human innovation or creativity (e.g., art, music, writing, coding, invention), destabilizing economic and social systems that rely on human effort. The ubiquity of AI-generated content may lead to reduced appreciation for human skills, disruption of creative and knowledge-based industries, and homogenization of cultural experiences.
"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)."(p. 290)
Part of Regulations and policy challenges
Other risks from Nah et al. (2023) (17)
Technology concerns
7.3 Lack of capability or robustnessTechnology concerns > Hallucination
3.1 False or misleading informationTechnology concerns > Quality of training data
7.3 Lack of capability or robustnessTechnology concerns > Explainability
7.4 Lack of transparency or interpretabilityTechnology concerns > Authenticity
6.3 Economic and cultural devaluation of human effortTechnology concerns > Prompt engineering
7.4 Lack of transparency or interpretability