What if we could build fairness into our business at the very core? Smart Data Foundry is committed to building fairness into everything we do but we need help to make sure that we are not biased in our execution.
One of Edinburgh Futures Institute PhD Candidates and Smart Data Foundry collaborator Savina Kim has recently written a whitepaper that has a critical call to action to address fairness and bias concerns in algorithm-assisted decision making. Savina’s whitepaper proposes the development of a fairness management framework, beginning with a Fairness Health Check, that can be used as a starting point to evaluate Machine Learning Systems and determine whether fairer outcomes can be achieved.
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Algorithmic Bias and how it can affect digital identity systems
But algorithmic bias doesn’t just have the potential to affect credit risk; it can affect any technology where algorithms are used.
One of the other technologies it can affect is digital identity systems. Bailey Kursar and Savina Kim explore this in this article.
What is Algorithmic Bias and Why Should We Care?
Algorithms are behind many of the most impactful decisions made today by banks, lenders, and credit checking companies. Decisions that will affect how you and your family live your lives. But what is an algorithm?
Put simply, an algorithm is a set of instructions that a computer follows to complete a task.