https://www.pbslearningmedia.org/resource/algorithmic-bias-and-fairness-video/crash-course-artificial-intelligence/
We're going to talk about five common types of algorithmic bias we should pay attention to: data that reflects existing biases, unbalanced classes in training...
algorithmic biascrash courseartificial intelligencefairnesspbs
https://aipressroom.com/deborah-kanubala-causal-fairness-interview/
Oct 28, 2025 - Deborah D. Kanubala explains how causal frameworks uncover algorithmic bias and push fairness beyond yes/no decisions.
deborah dcausalfairnessalgorithmicdecisions
https://ai-grid.org/en/interview/deborah-d-kanubala-gitex-2/
Nov 4, 2025 - Deborah D. Kanubala advances algorithmic fairness by using causal reasoning to uncover and correct treatment-level bias in AI systems.
deborah dcausalfairnessalgorithmicdecisions
https://blog.communitydata.science/effects-of-algorithmic-flagging-on-fairness-quasi-experimental-evidence-from-wikipedia/
Many online platforms are adopting machine learning as a tool to maintain order and high quality information in the face of massive influxes of of user...
effectsalgorithmicflaggingfairnessquasi