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Building Machine Learning Pipelines for institutions

  • United States Holocaust Memorial Museum 100 Raoul Wallenberg Place Southwest Washington, DC, 20024 United States (map)

How do we design quality machine learning systems that can reliably process archival records? What happens when those archives contain highly sensitive data? These questions shall frame our journey. This talk is about the lessons I’ve learned from building machine learning pipelines to run across sensitive data. We’ll discuss ethics and its role in an ever-changing AI landscape.

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August 8

Interrogating Digital Justice as Disaster Recovery

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September 30

nlp in the Age of LLMs