MIT AI Risk Repository · Risk Sub-Category · 13.02.04
Labor and Creativity
Category: Impacts: People and Society
Description
"Economic incentives to augment and not automate human labor, thought, and creativity should examine the ongoing effects generative AI systems have on skills, jobs, and the labor market."
From Evaluating the Social Impact of Generative AI Systems in Systems and Society (Solaiman2023), as extracted by the MIT AI Risk Repository (CC BY 4.0).
Classification
- Causal entity
- Human
- Intent
- Intentional
- 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
How other frameworks describe this risk
Other entries from Solaiman2023
- Impacts: The Technical Base System
- Bias, Stereotypes, and Representational Harms
- Cultural Values and Sensitive Content
- Cultural Values and Sensitive Content
- Disparate Performance
- Privacy and Data Protection
- Financial Costs
- Environmental Costs
- Data and Content Moderation Labor
- Impacts: People and Society
- Trustworthiness and Autonomy
- Trustworthiness and Autonomy