Designing adaptive, intelligent, and semi-autonomous systems
In the same way that designing an event poster is different from designing a mobile app, designing AI/ML-driven applications is different from designing mobile apps. Designing the user experience of adaptive, intelligent, and semi-autonomous systems present a range of new challenges for us designers to take on. This workshop looks at exactly that – ranging from interactions around explainability and user feedback mechanisms, to greater ethical challenges such as echo chambers and data bias.
In this session, you’ll follow a quick introduction with hands-on exercises to re-imagine the user experience of familiar algorithmic systems. Using the challenges as a lens, you’ll explore with Nadia potential user needs when interacting with AI and prototype new ways of meeting them. If you’re looking to deepen your understanding and practice how to bring UX practices into the AI process, this one is for you!
Nadia Piet is a designer, researcher, and organizer with a focus on AI/ML, data, and (digital) culture. Her work seeks to challenge and support how we design, think about, and interact with technology.
Currently, she’s building the AI x Design community, working on client and self-initiated projects, pursuing an MA in Data-Driven Design, and learning to write Python.
Prior, she worked as a design researcher for emerging technology products with Bit, published the AI meets Design toolkit in collaboration with MOBGEN | Fjord | Accenture Interactive, facilitated workshops to demystify digital with DECODED, freelanced for 8 years, and had the opportunity to live and work out of 10 countries around the globe.
You can find her at @nadiapiet or learn more about her work at nadiapiet.com or aixdesign.co.