The objectives of this introductory lecture are to enable participants to:
Explore the intersection of AI and creativity across various domains such as visual arts, music composition, and literature.
Understand the underlying principles of AI creativity, including generative modeling and machine learning algorithms.
Examine real-world examples of AI-generated content in different artistic disciplines.
Analyze the implications of AI creativity on traditional notions of artistic authorship and ownership.
Discuss the ethical considerations surrounding AI-generated content, including issues of bias and representation.
Evaluate the potential of AI as a creative agent and its impact on human-machine collaboration in the arts.
Investigate the democratization of creativity through AI-driven tools and platforms.
Critically reflect on the challenges and opportunities presented by AI creativity in the digital age.
Engage in interdisciplinary dialogue and collaboration to address the complex ethical and legal issues associated with AI-generated art.
Foster a deeper appreciation for the evolving role of AI in shaping the future of artistic expression and cultural production.
To successfully complete this module, you need to correctly answer a minimum of half of the total quiz questions. (15 minutes)
