Read about the full program during the UX for AI on-site workshop.
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AI Product Design workshops
9 hours of intensive knowledge on the fundamentals of (UX) designing AI-based products
On-site workshop, max. 12 participants
→ You want to learn the solid fundamentals of AI-based product design from a UX perspective
→ You want to understand, in an easy-to-grasp way, what specific AI technologies such as (un)supervised machine learning, computer vision, and deep learning are about, and their implications for user experience in digital products
→ You want to know how to critically analyse AI applications, recognize AI-washing, and understand basic concepts such as uncertainty, chunks, labelling, or AI agents
→ You want to feel more confident in discussions with AI engineering teams (data science, AI/ML engineers) and know how to effectively collaborate with them on the UX aspects of the product or feature
→ You want to know in which areas of AI product design you can have a real impact as a product designer and how to achieve this
→ You want to discover practical tips, examples, and UX & AI canvases
→ You want to improve your skills and contribute valuable UX insights and observations in discussions about AI product ideas and AI features
→ You want to know which skills are beneficial to develop to become a proficient AI product designer
→ You want to learn how user research methods are evolving for AI products and why it is important to approach new AI design patterns with design critic
We will go together through 4 main modules:
We will explore how designing AI-based products differs from traditional software solutions, how AI products are structured, and what the AI innovation gap is. We will analyse the scope of UX&AI design, where designers can have a real impact on shaping such solutions, and which skills are worth developing to collaborate effectively with AI engineering teams. We will also debunk some myths about Artificial Intelligence and discuss the current AI innovation hype in context of the hype cycle.
We will explore the topic of User Algorithmic Experience and various AI technologies (such as different types of machine learning, computer vision or deep learning). We will learn how selected types of AI and collected data impact the user experience in the product. We will examine the connection between the UX process and data science, identifying specific areas where we can design a better user experience. Additionally, we will learn how to map processes in AI products and recognize AI-washing. All of this will be discussed through practical examples and canvases that will help you organise this knowledge and apply in everyday design challenges.
We will learn the basic terminology in the field of data science and how to build effective collaboration between UX designers and new stakeholders in the UX process: data scientists, AI/ML engineers, algorithm engineers, and more. We will explore how to structure this collaboration to engage them in the UX design process and shift focus from AI-first to user problem-first. We will use dedicated UX&AI canvases to help in this process. Moreover, we will discuss how designers could approach both top-down and bottom-up design processes when the AI idea pops-up.
We will analyse which methods do not work well in the context of user research for AI-based products and why. We will discuss potential solutions to these challenges. During the second part, we will talk about newly appearing AI design patterns and how to verify their value. In addition, we will discuss how we, as designers, can contribute to the development of good UX & AI practices and design patterns during the current AI transformation.
— certificate of training completion
— 3 dedicated, tested UX&AI canvases that will help you in your daily design work
— AI Product Designer roadmap for your further skills development
— the list of recommended resources to explore after the workshop
— we will leverage the power of visual language to explain complex AI concepts in a easy, understandable way
— we will analyse many practical examples
→ For product designers, UX/UI designers, and UX researchers at every stage of their career
→ For designers working in product teams or design agencies
→ For design leads and product managers
→ For everyone interested in building UX of products based on AI technologies
Anna Maria Szlachta is a product designer and researcher with several years of experience in innovation environments, collaborating daily with data science teams in Switzerland. For the past 3 years, she has been exploring the topic of UX&AI from a practical perspective by designing User Algorithmic Experiences for digital solutions, as well as from a theoretical perspective (The Basel School of Design, MIT). After hours, she develops the ValuableAI project, which aims to democratise knowledge about AI product design among UX designers. She advocates for combining practical experience and daily UX experiments with the latest available knowledge from top universities, and above all, conducting design critique of AI products.
