ML bias explained & how to extinguish it
Bias in machine learning algorithms has come under increased scrutiny, underscoring how much "silent AI" has influenced far-reaching decisions in business and society.
The issue of machine learning bias has especially intensified with COVID-19 lockdowns and hospital bed count predictions, police and prison reforms, credit ratings, and even the use of language.
So how can you address, correct, neutralize, and eliminate ML bias in your business?
Tell us about your current analytics, BI, and/or AI/ML initiatives, and as a thank you, we’ll give you a downloadable copy of our expert guide to conquering algorithmic & human bias in ML—so you can create an immediate action plan for your company.