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Opening the Black Box of Automotive AI – A Visual Analytics Approach

Fill in the form below to view the case study from Axel Wendt, Senior Manager and Head of Functional Testing for Urban Automated Driving at Robert Bosch GmbH and Liu Ren, Global Head and Chief Scientist of Intelligent Human Machine Interaction Technologies and Systems at Robert Bosch LLC.

Opening the Black Box of Automotive AI

In their exclusive case study, Axel Wendt and Liu Ren discuss the following:

Case Study Highlights

  • Effective testing plays a key role to ensure safety in automotive AI
  • Interpretability of black box AI algorithms and testing data matters in effective testing
  • Visual analytics combines human intelligence and machine intelligence to address the interpretability challenges

If you want to go deeper, join us at the Auto.AI Europe 2019. Take a look at the agenda for more information.

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