The stronger the presence of AI in our day-to-day lives, the more vulnerable we are to bias present in the algorithms, especially if algorithms are being used to approve or reject loans, screen job applications or to inform social workers. Algorithms rely on data, and when the decisions being made by algorithms is on human lives and interactions, the data used for predictions is a record of how people have interacted in the past and of how society is structured. And it is no surprise that power hierarchies and social dynamics work exist and that people are privileged for simply for having certain characteristics. The challenge becomes how to deconstruct bias in the data so that AI can be an effective tool to improve our lives.
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