Summary
Most AI projects fail. Somewhere between 50-90% of them, which is double the rate of more traditional tech projects. This Rosenverse Session will draw on years of Carnegie Mellon HCII research to dive into the five traps that AI projects can fall into, and then talk about what designers and project managers can do to avoid those traps. Including one startling finding: user-centered design alone isn’t enough.
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