With the advent of neural networks, machine learning has gained immense popularity, and companies in just about every industry have started to apply some form of this vast technology to increase efficiency, improve throughput, or enhance customer experiences.

Artificial intelligence as a field has seen major breakthroughs in many areas within the past decade. With so many industries jumping towards automation and trying to apply AI to enhance customer experiences, it’s started to create a bigger impact in our day-to-day lives. Being used on such a large and varied scale, it has recently come to light that these methods come with their own problems.

This article asks an important question: whether the machine learning models we use are intrinsically flawed or not.

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