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DTSTART:20001029T040000
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UID:pretalx-pyconde-pydata-berlin-2023-NUF87W@pretalx.com
DTSTART;TZID=CET:20230418T103000
DTEND;TZID=CET:20230418T110000
DESCRIPTION:Within this talk\, I want to look at the topic of data ethics w
 ith a practical lens and facilitate the discussion about how we can establ
 ish ethical data practices into our day to day work. I will shed some ligh
 t on the multiple sources of biases in data applications: Where are potent
 ial pitfalls and how can we prevent\, detect and mitigate them early so th
 ey never become a risk for our data product. I will walk you through the d
 ifferent stages of a data product lifecycle and dive deeper into the quest
 ions we as data professionals have to ask ourselves throughout the process
 . Furthermore\, I will present methods\, tools and libraries that can supp
 ort our work. Being well aware that there is no universal solution as tool
 s and strategies need to be chosen to specifically address requirements of
  the use-case and models at hand\, my talk will provide a good starting po
 int for your own data ethics journey.
DTSTAMP:20260721T005632Z
LOCATION:Kuppelsaal
SUMMARY:What could possibly go wrong? - An incomplete guide on how to preve
 nt\, detect & mitigate biases in data products - Lea Petters
URL:https://pretalx.com/pyconde-pydata-berlin-2023/talk/NUF87W/
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