MIT AI Risk Repository · Risk Sub-Category · 33.02.04
Authenticity
Category: Technology concerns
Description
"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 a
From Generative AI and ChatGPT: Applications, Challenges, and AI-Human Collaboration (Nah2023), as extracted by the MIT AI Risk Repository (CC BY 4.0).
Classification
- Causal entity
- AI
- Intent
- Other
- Timing
- Post-deployment
Subdomain definition: AI systems capable of creating economic or cultural value, including through reproduction of human innovation or creativity (e.g., art, music, writing, code, invention), can destabilize economic and social systems that rely on human effort. This may lead to reduced appreciation for human skills, disruption of creative and knowledge-based industries, and homogenization of cultural experiences due to the ubiquity of AI-generated content.
Real-world incidents in this subdomain
- Seedance 2.0 Reportedly Generated Viral Tom Cruise–Brad Pitt Fight Video, Prompting Hollywood IP and Likeness Complaints
- The New York Times Sued Perplexity for Allegedly Using Copyrighted Content and Generating False Attributions
- Reported Disqualification of Two Books from the Ockham New Zealand Book Awards Due to Alleged AI-Generated Cover Art
- Unauthorized AI Impersonation of George Carlin Used in Comedy Special
- GAN Artwork Won First Place at State Fair Competition