What is algorithmic bias?
AI that makes decisions that are systematically unfair to certain groups of people. Several studies have identified the potential for these biases to cause real harm, transcending our day-to-day lives – from gender and race, to our criminal justice system, financial institutions, facial recognition, ads, and the job market.
And when it comes to ensuring 'neutral' algorithms, it's critically important to employ not just a diverse software/engineering team, but also universal data sets, as well as implementation of a 'checks and balances' approach.
How do we manage the problem?
Tools to tackle algorithmic bias