What is Algorithmic bias, and how can it improve AI fairness?

Algorithmic bias is one of the AI industry’s most prolific areas of scrutiny. Unintended systemic errors risk leading to unfair or arbitrary outcomes, elevating the need for standardized ethical and responsible technology — especially as the AI market is expected to hit $110 billion by 2024. 

There are multiple ways AI can become biased and create harmful outcomes.

First is the business processes itself that the AI is being designed to augment or replace. If those processes, the context, and who it is applied to is biased against certain groups, regardless of intent, then the resulting AI application will be biased as well.