AI is shoving its way into design processes, superfast. The good news: AI is just a layer on top of an established system that’s been around since the late 1960s. While it may seem like AI changes everything, the tried-and-tested system of objects, states, and relationships that has carried software development for 75+ years has even more to say about avoiding Franken-products that make no sense at all. In this AI-atmosphere, systems thinking is no longer a niche nice-to-have; it’s mandatory. Especially considering how almost half of hiring managers rank it in their top desired skills for new hires.
In this intensive session, you’ll learn:
- Foundational systems thinking concepts (specifically representation, objects, and attributes).
- How AI is simply an abstraction over a 75-year-old system that likely won’t change even as technology on top of it changes.
- How we can use this knowledge in AI-integrated design to improve your design org's prototypes and designs.
Meet your speaker
Dave Connis has been in design for 10+ years and has tried to apply all the systems thinking frameworks and theories to everyday design work in actual design orgs. Most of them fell apart fast. Either they were so academic that they lost relevance when you saw your to-do list on Monday morning or they were so comprehensive that it felt like trying to use quantum mathematics when you only had time and space for addition and subtraction. After getting sick of finding no practical systems thinking courses, he started System Design Lab, a learning platform that teaches practical systems thinking for designers with deadlines.
Meet your host
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