In the Age of AI Art, What Can Originality Look Like? | Eileen Isagon Skyers | TED
Envisioning AI Art
The speaker introduces the concept of AI-generated artwork and highlights the diverse range of creations made possible by machine learning models like DALL-E, Stable Diffusion, and Midjourney. AI art is intriguing because it produces visuals that are both familiar and unfamiliar, mirroring human creativity.
Exploring AI Artistic Possibilities
- AI art captures our fascination as it presents things we cannot fully understand.
- Neural networks process data from various images created by people across generations and art movements, resulting in visually striking yet unfamiliar artworks.
Two Schools of Thought on AI Art
The speaker discusses the differing perspectives on AI's impact on human creativity. Some view it as a threat, while others see it as an extension of our creative abilities.
Perspectives on AI in Art
- Pessimists believe that AI poses a significant threat to human creativity.
- Optimists consider AI as an extension of our creative capabilities.
Originality and Critical Engagement with AI Art
The speaker raises questions about originality in the context of AI-generated art and explores how we can critically engage with artworks created by machines.
Questions about Originality and Engagement
- Is true originality still achievable for artists in the age of AI?
- How can we approach artworks made by machines from a critical perspective?
Metaphors, Narratives, and Insights from Artists Pushing Boundaries
The speaker suggests looking at metaphors, narratives, and insights from artists who are pushing the boundaries of AI art to gain a deeper understanding of its possibilities.
Learning from Artists Pushing Boundaries
- Exploring moments of delight, surprise, confusion, and wonder in AI art provides glimpses into the potential encounters with this technology.
- Engaging with AI art is not just an aesthetic experience but also a moral and ethical one.
Examples of AI Artworks
The speaker presents several examples of AI artworks created by different artists, showcasing the diverse range of techniques and approaches used.
Examples of AI Artworks
- Mario Klingemann's artwork uses an AI model trained on portraits from the 17th to 19th centuries to generate unique and uncanny interpretations of human faces.
- Sofia Crespo's "Neural Zoo" series generates unreal sea creatures and biological forms by using neural network interpretations of the real world.
- Sara Ludy's abstract piece combines digital painting with DALL-E 2's Outpainting technique to extend creativity beyond the frame using language prompts.
- Ivona Tau curates her personal photo collection for GAN training, resulting in photographs that are also the work of AI.
- Claire Silver collaboratively works with AI, employing techniques like inpainting to transform images bit by bit and creating new forms of language for the machine itself.
Co-Creating with AI
The speaker emphasizes that we are all collectively co-creating with AI, whether we are aware of it or not.
Co-Creation with AI
- With the prevalence of AI, we are all participating in the co-creation process, even if we are not conscious of it.
The transcript is already in English, so there is no need to respond in a different language.
Bracing for an Increasingly Technological Future
In this section, the speaker emphasizes the need to prepare ourselves for a future that will be increasingly driven by technology. This technological advancement will open up numerous creative possibilities.
Embracing Technological Advancements
- The speaker highlights the importance of bracing ourselves for an increasingly technological future.
- This future will bring about a multiplication of creative possibilities that we can explore.
- It is crucial to recognize and embrace the potential that technology offers in order to thrive in this changing landscape.
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