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The speaker will participate by link. You can participate via the link or watch the lecture in Galaxen at Umeå University. Welcome!
Abstract
We came to synthetic data with a concern for disappearing edge cases. We have gotten muddled in Intersectional Hallucinations. Using sensitivities informed by intersectionality theory and machine learning techniques, we are developing a vocabulary and toolkit do identify and measure intersectional fidelities and hallucinations. This work triggers questions about the uses of synthetic structured data (when are hallucinations good? When are they a problem?) and guardrails to ensure its reliability.
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Ericka Johnson, Deputy Head of Department and Professor at Linköping University, who's research explores how the world becomes data. With a background in Science & Technology Studies and medical humanities, she's looking at the nexus of ontologies, epistemologies and AI. What happens when the data that represents the world meets AI?
Saghi Hajisharif is a Research Engineer at Linköping University with research interests are in visual machine learning, HDR imaging, photo-realistic rendering, compressive imaging, and light fields.