These are the four most popular misconceptions people have about race & gender bias in algorithms.I'm wary of wading into this conversation again, but it's important to acknowledge the research that refutes each point, despite it feeling counter-intuitive.Let me clarify.👇🏾 https://t.co/WdzmnGLaFm— Deb Raji (@rajiinio) March 27, 2021

Proctored exams have a bias toward students from racial minorities and other disadvantaged groups.

A growing group of lawyers are uncovering, navigating, and fighting the automated systems that deny the poor housing, jobs, and basic services. Increasingly, the fight over a client’s eligibility now involves some kind of algorithm. “In some cases, it probably should just be shut down because there’s no way to make it equitable,”

A Home Office-funded project that used artificial intelligence to predict gun and knife crime was found to be wildly inaccurate. “Basing our arguments on inaccuracy is problematic because the tech deficiencies are solvable through time. Even if the algorithm was set to be 100 percent accurate, there would still be bias in this system.”

As we hand over decision-making regarding social issues to automated systems developed by profit-driven corporates, not only are we allowing our social concerns to be dictated by the profit incentive, but we are also handing over moral and ethical questions to the corporate world, argues ABEBA BIRHANE

Colonialism in the age of Artificial Intelligence takes the form of “state-of-the-art algorithms” and “AI driven solutions” unsuited to African problems, and hinders the development of local products, leaving the continent dependent on Western software and infrastructure.