Lunch seminar: Why data for AI needs context

Most welcome to the Software Center Brown Bag seminar on November 8^th:
”Setting AI in context: Why data for AI needs context”

The seminar is hosted by theme 4 (‘Customer Data and Ecosystem Driven Development’) and we are happy to welcome Hans-Martin Heyn as our speaker. Hans-Martin is a Postdoctoral researcher at the Department of Computer Science and Engineering at Chalmers/University of Gothenburg.

For automated driving systems the operational context needs to be known in order to state guarantees on performance and safety. We show, based on semi-structured interviews, that major uncertainties exist in how to clearly define and document the operational context in a diverse and distributed development environment such as the automotive industry. This is problematic especially for systems using machine learning, because data attributes and data quality for training and validation depends on the assumed context of the system. Based on Design Science Research, we propose a Data Quality Assessment and Maintenance Framework, to systematically manage data quality and related requirements.

Most welcome to the seminar and please share this invite with your colleagues!

Also, please note that everyone interested in getting the invites for the Brown Bag seminars can sign up using the following link: https://lists.chalmers.se/mailman/listinfo/sc_bb

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