Ezio Chifunga·Oct 6Protecting the Person Without Erasing InequalityWhat we learned building a privacy and fairness middleware for Brazil public health data and why anonymization can make minorities disappear
Abena Boadi-Agyemang, PhD·Sep 22Human-Robot Interaction Accessibility Guidelines (HRIAG)Author: Abena Boadi-Agyemang
Ashutosh Singhal·Sep 12“We removed race and income from the model” is the sentence that loses the dynamic-pricing caseI built the audit that shows why. A pricing bandit trained on a synthetic population never saw a protected attribute and still priced the...
Alexandria Davis·Jul 24Seven Reasons AI Fairness Frameworks Keep Failing WomenWhy the tools, the regulations, and the good intentions all exist, but the gender gap in credit AI persists anyway.
Kirigo Ndungu·Jun 17How Bias Seeps In Before You Code: Why Data Choices Matter More Than AlgorithmsBias in machine learning algorithms is perceived as an artefact of the algorithm itself, a strict mathematical sense of overfitting and…
