Today’s Objective
Continuing the exploration of art and technology, Week 9 dives deeper into the intersections between digital aesthetics, systems thinking, and creative possibilities in AI. Students will critically analyze digital art, probing how technology can expand creative horizons while simultaneously raising new questions about authenticity, ownership, and meaning.
Lecture Notes
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Key Concepts
- Algorithmic Creativity: The process of utilizing algorithms and computational methods to mimic, enhance, or collaborate with human creativity. This includes the creation of art, music, or literature through AI-driven processes.
- Human-Machine Collaboration: The synergistic relationship between humans and AI, where both entities work together to achieve creative outcomes. This collaboration can result in innovative forms of art and thought, expanding the traditional boundaries of human creativity.
- Ethics of AI in Creativity: The consideration of moral principles and social implications as AI integrates into creative fields. This includes issues related to authorship, intellectual property, authenticity, and the preservation of human values within AI-driven creativity.
To Read (Before Class)
Primary
Marcus du Sautoy: "The Creativity Code: Art and Innovation in the Age of AI" (2019) The Creativity Code (Chapters 1 - 4)
Supplemental
Explore the journal.
Student Facilitation Reading
Read the Introduction and Chatper 1 from AI Art: Machine Visions and Warped dreams by Joanna Zylinska.
Check the Google Sheet for your presentation date
Summary: In this text, Joanna Zylinska delves into the realm of AI-generated art and its relationship with human creativity. She discusses the ways in which AI technologies can be employed as creative tools, challenging traditional notions of authorship, artistic agency, and the role of the artist. Zylinska explores the transformation of the artistic process through AI-generated images, revealing the intricate interplay between human intent and machine algorithms. Throughout the text, she raises questions about the ethical implications of using AI in artistic contexts and ponders the implications of an art form where the boundaries between human and machine contributions blur.
- What are the key shifts and challenges that AI technologies introduce to the process of artistic creation, according to Zylinska's perspective? How do these shifts challenge conventional notions of artistic authorship and creativity?
- Zylinska mentions the concept of 'posthuman art.' How does the integration of AI technologies in art contribute to this posthuman discourse? What are the implications of this transformation for our understanding of the relationship between humans, machines, and creativity?
- Zylinska explores the idea of "algorithmic aesthetics." How does the notion of algorithmic aesthetics differ from traditional artistic aesthetics, and how does it shape the creation and appreciation of AI-generated art? What impact does this shift have on the role of the artist?
- The text touches on ethical concerns related to AI-generated art, including issues of agency, originality, and bias. How do these concerns intersect with the broader ethical considerations surrounding AI technologies in society? How can artists navigate these ethical challenges while embracing technological innovation?
- *In the context of AI-generated art, Zylinska discusses the concept of 'collaborative authorship' between humans and machines. How does this concept challenge our understanding of creativity and artistry? How might it redefine our perceptions of human ingenuity and the boundaries of artistic expression?
