Authenticity
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.
"As the advancement of generative AI increases, it becomes harder to determine the authenticity of a piece of work. Photos that seem to capture events or people in the real world may be synthesized by DeepFake AI. The power of generative AI could lead to large-scale manipulations of images and videos, worsening the problem of the spread of fake information or news on social media platforms (Gragnaniello et al., 2022). In the field of arts, an artistic portrait or music could be the direct output of an algorithm. Critics have raised the issue that AI-generated artwork lacks authenticity since algorithms tend to generate generic and repetitive results (McCormack et al., 2019)."(p. 289)
Part of Technology concerns
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 > Prompt engineering
7.4 Lack of transparency or interpretabilityRegulations and policy challenges
6.5 Governance failure