Kilian Kluge
My journey into Python started in a physics research lab, where I discovered the merits of loose coupling and adherence to standards the hard way. I like automated testing, concise documentation, and hunting complex bugs.
I recently completed my PhD on the design of human-AI interactions and now work to use Explainable AI to open up new areas of application for AI systems.
Sessions
12-01
12:00
30min
Do You Follow What I’m Explaining? A Practitioner’s Guide to Opening the AI Black Box for Humans
Kilian Kluge
Numerous tools generate "explanations" for the outputs of machine-learning models and similarly complex AI systems. However, such “explanations” are prone to misinterpretation and often fail to enable data scientists or end-users to assess and scrutinize “an AI.” We share best practices for implementing “explanations” that their human recipients understand.
Talk Track II