Kristina Braun
Linguist. Feminist. Human.
With a background in theoretical and applied linguistics and cognitive science, Kristina found her way into the math of language — and has been working with natural language processing and retrieval in particular ever since. She’s interested in the systems we create, the humans who build and use them, and the assumptions that quietly travel between the two. She values sustainability, equality and systematic thinking: questioning what we take for granted while staying grounded in expertise, evidence and common sense.
Sessions
Debugging the Human in the Loop
We all know what happens when AI learns from unrepresentative data. We recognize the problem, measure the bias, try to mitigate it — and eventually put a human in the loop. Problem solved, isn't it?
This talk turns the usual human-in-the-loop question around and asks whether (and how) we should also debug the human factor.