From children’s book illustrations to portraits that populate users’ Instagram feeds, the number of art pieces produced with generative AI tools continues to grow. Generative AI is revolutionizing and democratizing many creative industries by providing more cost-effective, accessible, and versatile tools for creators. These changes will likely lead to a new wave of digital art that requires creators to develop new skill sets and change some of the economics of art production. However, some people fear that generative AI challenges the idea of human creativity and disincentivizes artists. Critics claim AI-generated art reduces creative tasks to a derivation of the content fed into the algorithm, and AI-generated art may eventually drown out “original content” created by humans.
Do these criticisms have merit or do they merely represent the latest moral panic over technology? If it is the former, how should policymakers intervene to protect content creators? If it is the latter, how should policymakers discourage attempts to suppress these tools? Join the Center for Data Innovation for a discussion on how generative AI works, how artists are using these tools, and whether AI-generated art will be a boom or bust for human creativity.
Date and Time:
March 21, 2023, 11:00 AM to 12:00 PM (EDT) // 4:00 PM to 5:00 PM CET
- Ahmed Elgammal, Professor, Rutgers University
- Patrick Grady, Policy Analyst, Center for Data Innovation (moderator)
- Marian Mazzone, Associate Professor, College of Charleston
- Irene Solaiman, Director of Policy, Hugging Face
- Brigitte Vézina, Director of Policy, Creative Commons