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…
InfAIr and squarebyAlfredo Gonzalez Briseño·Apr 28Decisions from black boxesAI is taking over many processes, tasks and decisions. On the surface, different results are emerging. Wonder from impressive achievements…
Sae-Hwan Park·Mar 7When a TPR Gap Is Really a Risk-Mix GapWe disentangle population risk from model-specific performance when subgroups enter with different risk profile.
HairuFan·Mar 4The AI Fairness Problem Is More Complicated Than You Think — Here’s Where to Start Reading“Fairness” in machine learning isn’t a single concept — it’s a family of mathematically distinct, sometimes irreconcilable ideas…
Sae-Hwan Park·Feb 28Equal Opportunity Under the Microscope: Why Fairness Evaluation Needs Risk AwarenessWe dive into whether and how forcing equal outcomes in healthcare algorithms can overlook the reality of baseline risk and demographic…
Sarthakvyadav·Dec 29, 2025The Hard Truth About “Fair” AI: A Leadership Guide to Algorithmic FairnessWhy every AI deployment forces an impossible choice — and how to make it anyway
