How do Artificial Intelligence and Machine Learning reshape the landscape of art and design?
This is the third summer school organized by KITeGG, a research project of five German universities on Artificial Intelligence in Art and Design running from 2021-2025. Featuring a lineup of thought-provoking talks, engaging panel discussions, and hands-on workshops, we will explore how AI can expand art and design practices and enhance creativity, learn about the challenges and affordances of designing AI-based interfaces and products, and discover best practices for teaching AI to creatives. Join us for a refreshing and in-depth exploration of the many-sided world of creative AI.
Wow, what has happened in the last 12 months? We are experiencing a new wave of AI hype, and generative AI is at the heart of it. The success of tools like ChatGPT, Stable Diffusion or DALL-E, which are usable for everyone, have contributed to the fact that the topic of “AI and creativity” is now mainstream and widely discussed. New products and business models based on the technology of large language models (LLMs) are spawning everywhere. Signs of generative AI becoming a maturing technology.
In the midst of this new "AI summer", the 3rd KITeGG summer school is taking place! Where do the KITeGG community and its five AI labs conceptually position themselves in 2023? What is different in this wave of AI hype than in the waves before? This symposium gathers a diverse group of experts to discuss exciting and finicky questions emerging when AI meets design and art along 3 axes:
1. Design for AI (Designing AI systems)
What are the challenges and affordances for designing AI-based interfaces and products? What do designers need to know to design these systems responsibly? What is the broader societal context of these technologies, underlying practices and economies?
2. AI for Design (Creative AI)
How can AI augment art and design practices? How do AI technologies integrate as tools in the creative toolbox of artists and designers? How can AI act as a tool for ideation, enhancing rather than flattening creativity?
3. Teaching AI to creatives
Approaches and best practices for teaching AI to creatives. How to increase AI and data literacy? How do we help build up intuitions for AI use cases, consciously assess the benefits and risks and decide when to use or not use AI-based technologies?