Mar
SVEP-webinarium: Algorithmic fairness and bias in epidemiological research
27 mars kl 14-16 håller SVEP (Svensk Epidemiologisk Förening) sitt årsmöte. I samband med detta blir det även en presentation om "Algorithmic fairness and bias in epidemiological research" av Tibor V Varga.
14.00-15.00: Tibor V Varga, Assistant Professor, Dept Public Health, University of Copenhagen: Algorithmic fairness and bias in epidemiological research
Algorithms will soon completely surround us - from college applications, through self-driving cars to clinical decision making, algorithms are becoming an organic part of our lives. In entering this era, we rely heavily on algorithms of varying complexity, in part to generate fair decisions by avoiding human biases. However, societal inequities and downstream data biases often further propagate biases into decisions for the future. In addition, while most algorithms are tuned to generate the most accurate predictions, less attention is paid to generating fair results. In this talk, I will give a primer on algorithmic fairness, introduce the most common biases in machine learning, recent examples from the algorithmic fairness literature, and give an overview of the most common fairness metrics.
15.15-16.00: Årsmöte, Svensk epidemiologisk förening
Zoom: https://gu-se.zoom.us/j/64974422185?pwd=dFlMMHFkWVNFd1YvU0d6RVJJdGhzQT09 (Passcode: 720867)
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About the event
Location:
Online
Contact:
elisabeth [dot] strandhagen [at] gu [dot] se