16:00-17:00 Guided tour through the HfG
17:00-19:00 Prompt Battle
19:00-21:00 Maultaschenfest (Feast of the Swabian ravioli)
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?
Nadia Piet is an independent designer, researcher, organizer, and educator with a focus on AI/ML, data, tech, [digital] culture and creativity. She’s the founder of AIxDESIGN [a community of practitioners & living lab for beyond-corporate AI], holds an MA in Data-Driven Design, and explores playful & purposeful tech through freelance projects and self-initiated experiments. Over the past 10 years, she’s worked as Head of Creative Technology at DEPT [a global digital agency], design researcher for emerging technologies at Bit, and across roles and continents with organizations such as Hyper Island, Pi Campus, Forbes, UN, AWWWARDS, DECODED, MOBGEN | Accenture Interactive, Mozilla, and ICO.
oio is a creative company on a quest to turn emerging technologies into an approachable, everyday and sustainable reality. It’s a small team of humans and machines pushing for an impact that outweighs their footprint, shaping future products and narratives for what could be our future. They just launched their first product, designed in collaboration with an AI in a new process they coined as “Artisanal Intelligence”. Constantly pushing the boundaries of post-human collaborations, oio works with big companies, small startups and cultural institutions to shape products and tools for a less-boring future. Some of their collaborations include IKEA, Google, SPACE10, FABRICA, the Museum of the Future, Arduino and Samsung among others.
Prof. Dr. Wolfgang Ertel established the Institute for Artificial Intelligence at the Ravensburg-Weingarten University of Applied Sciences. He studied physics and mathematics in Konstanz and has been a researcher in artificial intelligence since 1987. His areas of expertise are machine learning and adaptive robots. After many research projects about service robots, adaptive machines and diagnostic systems he now works on AI and the future of humanity. He teaches artificial intelligence, machine learning, mathematics and sustainability. He wrote a textbook on artificial intelligence with translations into English, Chinese, Russian, Greek and Turkish. At Scientists for Future he is committed to climate and environmental protection.
Ploipailin Flynn is a business and product strategist interested in the design and build of radically equitable and antiracist futures. She got tired of well-designed tech products and services that turned "accidentally" racist, so she launched ANTI (antiracistby.design ) as a place of reference for business and product leads to build things that are antiracist by design. Her areas of interest include: The relationship between revenue models and discriminatory design. Antiracist and decolonial futures. Translating abstract principles into tangible products and services. Researching the intersectional impacts of Big Tech, AI, capitalism.
Roman Stefan Grasy is unit lead for industrial applications @ Intuity Media Lab. He has been developing digital products and services at Intuity since 2012. As expert for digital manufacturing solutions and medical technologies he coordinates multi-disciplinary teams consisting of designers, data science experts and developers.
Dr Catherine Breslin is a machine learning scientist and consultant based in Cambridge UK, and founder of Kingfisher Labs consulting. Since completing her PhD at the University of Cambridge in 2008, she has commercial and academic experience of automatic speech recognition, natural language understanding and human-computer dialogue systems, having previously worked at at Cambridge University, Toshiba Research, Amazon Alexa, and Cobalt Speech. She's excited by the application of research to real-world problems involving speech and language at scale.
Simon Maris is currently Professor (by proxy ~ in Vertretung) of AI - Design and Sustainability at the Department of Art and Design at the University of Applied Sciences Trier. He explores, questions, makes. Trained as an architect, he has long been fascinated by technology and it's intersection with society and art, with a particular focus on computational design, digital fabrication, robotics and more recently AI systems. He co-hosts the towards co-creation podcast.
Emily Saltz is a UX Researcher at Google Jigsaw, working on tools for platforms and moderators to address online harms. Before that, she was a UX Researcher at the New York Times R&D Lab, conducting research on topics ranging from media credibility (the News Provenance Project), to NLP Q&A tools. She was a 2020 Fellow at the Partnership on AI studying manipulated and synthetic media, where she co-authored "The Responsible AI Art Field Guide." She holds a Master’s in Computer-Interaction from Carnegie Mellon, and a BA in Linguistics from UC Santa Cruz, and is Part-Time Faculty in Design & Technology at Parsons.
Tom White (dribnet) is a New Zealand based artist investigating machine perception. His current work focuses on creating physical artworks that highlight how machines “see” and thus how they think, suggesting that these systems are capable of abstraction and conceptual thinking. He has exhibited computer based artwork internationally over the past 25 years with themes of artificial intelligence, interactivity, and computational creativity. He is currently a lecturer and researcher at University of Wellington School of Design where he teaches students the creative potential of computer programming and artificial intelligence.
Andreas Refsgaard is an artist and creative coder based in Copenhagen. Working in the field between art and interaction design he uses algorithms, coding and machine learning to explore the creative potentials of emerging digital technologies. His works have been published in New Scientist, Vice, Gizmodo, PSFK and Designboom, awarded by Interaction Awards and Core77 and exhibited in museums and at festivals in Europe, North America, Asia and Australia.
Norbert Riedelsheimer is working as global Design Program Director at IBM Client Engineering, a business unit that leverages cutting edge AI and Cloud Technologies in interdisciplinary squad teams to innovative with IBMs most important clients. As regulations like the EU AI-Act are on the horizon, clients from industries like banking, insurance, industrial, distribution and the public sector are interested in AI-solutions that are trustworthy, explainable and fair. Norbert thinks that we as designers need to even push beyond that and have the power to maximize the positive impact of AI Technologies by applying them in context of the worlds bigger challenges.
Prompt Battle Delegation: Bernadette Geiger & Ella Zickerick
Prompt Battle is a live event where people compete against each other using text-to-image software. Show off your prompt skills and maybe the audience will choose you as the winner who elicited the most surprising, disturbing or beautiful images from the latent spaces of DALL·E 2, Stable Diffusion, Midjourney, Craiyon, etc.
The Prompt Battle format was developed by Florian A. Schmidt & Sebastian Schmieg with the design students at HTW Dresden: Bernadette Geiger, Ella Zickerick, Emily Krause, Levi Stein, Lina Schwarzenberg, Robert Hellwig
May 10-12, 2023
(Wednesday - Friday)
16:00-17:00 Guided tour through the HfG
17:00-19:00 Prompt Battle
19:00-21:00 Maultaschenfest (Feast of the Swabian ravioli)
09:30-10:30 Nadia Piet UX of AI
10:30-11:30 Catherine Breslin Conversational Design for Voice Assistants
12:00-13:00 Ploipailin Flynn Mirror mirror: Reflections on “accidentally” discriminatory AI outcomes
14:00-15:00 Emily Saltz AI Safety & Disclosure in Product Design: Practices in Flux
15:00-16:30 Panel AI Industry - professional requirements and fields of activity for designers
17:00-18:00 oio (Matteo Loglio and Simone Rebaudengo) Future Everyday Products
09:30-10:30 Simon Maris A priori: Automated Pattern Recognition Inspiring Overdue Renewable Inventions
10:30-11:30 Tom White Machine Abstractions
12:00-13:00 Panel KITeGG: Learnings from one year of AI education at Art & Design Schools
13:00-14:00 Pizza & presentation of workshop results
Mai 8-10, 2023
(Monday - Wednesday)
Please note that these workshops are intended for students of HfG and KITeGG partner universities as part of the "Internationale Seminarwoche" at HfG. If you're interested in the workshop results, join us on Friday 13:00 at the AI+D Lab at HfG for a presentation of the workshop results!
Educators from KITeGG partner universities will offer a series of workshops in the days leading up to the conference, providing a hands-on experience of the range of possibilities that AI and machine learning hold for designers.
Typedesign with Karlo Markus Mau (Hochschule Mainz)
Making (Non)Sense – Prototyping AI based Interactive Systems with Sensors Rahel Flechtner (HfG Schwäbisch Gmünd) & Jakob Kilian (KISD)
PLAYTRACING Simon Maris (Hochschule Trier)
Designing Prompts Benedikt Groß (HfG Schwäbisch Gmünd)
KITeGG - A collaborative project of five universities for the integration of AI in the design teaching.
The joint project "KITeGG - Making AI tangible and comprehensible: Connecting technology and society through design" explores how AI can be integrated into design education. Project partners are the Mainz University of Applied Sciences, the Offenbach University of Art and Design, the Schwäbisch Gmünd University of Applied Design, the Cologne International School of Design and the Trier University of Applied Sciences.
As “designers of the future” students should have knowledge of current and future relevant technologies as well as profound technical knowledge and the ability to systematically consider user contexts and ethical and legal issues. They should be able to use machine learning reflectively as a tool and material for design. To this end, new teaching formats, tools, symposia and publications are to be developed within the framework of the project over the next three years. KITeGG is one of over 50 funded projects within the framework of the funding initiative "Künstliche Intelligenz in der Hochschulbildung".
The AI+D Lab is the place at HfG Schwäbisch Gmünd for research and teaching that combines artificial intelligence and design. In the form of generated images and videos, intelligent sensor systems and language-based interfaces, Machine Learning will be increasingly used in design practice. We will explore the possibilities and challenges of artificial intelligence in design: How can AI technologies be integrated into the design process and how does this change the work of designers? What role can designers play in the (co-)design of AI-based applications and how do they need to be prepared for this in their education and how can we design desirable futures with AI technologies?
In order to be able to use AI technologies in the design process, it is important to build up sound knowledge about the possibilities and limitations of this technology. As a physical location, the lab is the first point of contact for students and teachers and provides the technical infrastructure for projects and experiments with different AI models and technologies. The AI+D Lab is part of KITeGG.
AI+D Lab lead
Programme & Coordination
Lucie Paula Claire de Hair, Marlene Metschies, Kirsten Humpfer