(Does art created by AI constitute as art?)

2. AI’s Influence on the Art World

(Is AI a positive influence in the domain of art?)

3. Enhancement of Art Through AI

(Can AI enhance art or not?)

4. Creativity and Originality in AI Art

(Does AI in art reduce creativity and originality?)

5. AI and the Future of Artistic Employment and Collaboration

(Does AI art threaten artists’ livelihoods or open new paths for creative collaboration?)

6. The Impact of AI on the Perception of Human Creativity

(Could relying on AI-made art make people value human creativity less?)

7. Recognition and Categorization of AI-Generated Art

(Should AI-created art receive its own category of recognition/not?)

8. The Role of Human Creativity in the Definition of Art

(Can art exist without human creativity/input?)

9. Separating Artistic Process from Artistic Product

(Should/could creativity (the process) be separate from a work of art (the final product)?)

AI-generated art is often trained on massive datasets composed of pre-existing works. As a result, AI tends to generate art that reflects patterns and norms rather than breaking them.

• Evidence: Platforms like Midjourney and SEE Dream, can produce aesthetically appealing images, but often lack unique intent or disruptive vision. They are limited by their training data, often producing variations on familiar styles.

• Impact: Over time, this can lead to a narrowing of artistic diversity, as AI regurgitates existing styles rather than inventing new ones.

• Example: Many AI-generated portraits mimic popular visual tropes (Baroque lighting, surreal landscapes), creating works that feel similar across creators using the same tools.

2. How AI devalues traditional craftsmanship

Devaluation of Traditional Craftsmanship,

Art has historically been a labour-intensive process, where an artist’s touch, technique, and mastery distinguish the work.

• Evidence: A painting by Van Gogh or an etching by Rembrandt reflects years of training and skill, with each brushstroke carrying intention and meaning.

• AI impact: With tools that can generate complex images in seconds, the emphasis shifts from creating to curating inputs. This risks reducing the value placed on human technique and manual skill.

• Example: In AI art competitions, human-made works have lost to AI-generated images—sparking backlash among traditional artists who feel their labor is being overshadowed by algorithmic shortcuts.

3. How Ai challenges authenticity.

Challenges to Authenticity and Ownership,

AI raises difficult questions around authorship and originality.

• Problem: Who is the “artist” of an AI-generated piece? The developer of the algorithm? The user? Or the dataset the AI learned from?

• NFTs complicate this: AI-generated works are being minted and sold as unique pieces via NFTs, yet often derive from copyrighted or stylistically recognizable sources without proper credit.

• Example: In 2022, an AI-generated image won a state fair art contest in the U.S., prompting concerns over authenticity and fair competition.

Human Collaboration

• Source: https://mymodules.dtls.unisa.ac.za/mod/folder/view.php?id=1226851

2. The Creativity of Artificial

   Intelligence in Art

   - Mingyong Cheng

   • Source: https://mymodules.dtls.unisa.ac.za/mod/folder/view.php?id=1226851

3. Artificial Intelligence and the Arts-Towards Computational Creativity - Mantaras

   • Source: https://mymodules.dtls.unisa.ac.za/mod/folder/view.php?id=1226851

Chosen motion is: "AI undermines the Integrity of the Creative Arts