4 Important Types Of Bias To Tackle When Building AI Tools

Last year, speaking to The Guardian, Tess Posner, CEO of AI4ALL, an organization that strives to increase diversity within artificial intelligence, concluded that we have reached a "tipping point" in terms of the diversity crisis underlying AI. With every passing day, it gets more challenging to mitigate the biases that are powering AI tools and systems. Now more than ever, awareness and consideration of these biases need to be brought to the forefront of all AI development and implementation. In order to tackle AI biases, it's important to consider the multitude of different types of biases that exist and drive to combat each of them. Racial and ethnic biases pervade AI tools.