Why Tech Companies Keep Making Racist Mistakes With AI

had shown that skin-colored areas of an image could be extracted in real time. So we decided to focus on skin color as an additional cue for the tracker.I used a digital camera – still a rarity at that time – to take a few shots of my own hand and face, and I also snapped the hands and faces of two or three other people who happened to be in the building. It was easy to manually extract some of the skin-colored pixels from these images and construct a statistical model for the skin colors.

In the age of AI, that knapsack needs some new items, such as “AI systems won’t give poor results because of my race.” The invisible knapsack of a white scientist would also need: “I can develop an AI system based on my own appearance, and know it will work well for most of my users.”One suggested remedy for white privilege is to be actively. For the 1998 head-tracking system, it might seem obvious that the anti-racist remedy is to treat all skin colors equally.

Scientists also face a nasty subconscious dilemma when incorporating diversity into machine learning models: Diverse, inclusive models perform worse than narrow models.A simple analogy can explain this. Imagine you are given a choice between two tasks. Task A is to identify one particular type of tree – say, elm trees. Task B is to identify five types of trees: elm, ash, locust, beech and walnut.

In the same way, an algorithm that tracks only white skin will be more accurate than an algorithm that tracks the full range of human skin colors. Even if they are aware of the need for diversity and fairness, scientists can be subconsciously affected by this competing need for accuracy.My creation of a biased algorithm was thoughtless and potentially offensive. Even more concerning, this incident demonstrates how bias can remain concealed deep within an AI system.

The good news is that a great deal of progress on AI fairness has already been made, both in academia and in industry. Microsoft, for example, has a research group known as

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