Artificial intelligence is all around us today, and it’s starting to play a larger role in our lives than ever before. AI is present in everything from Google searches to self-driving cars. More often than not, when we think of AI, we imagine that scientists program machines with the same biases they possess. But what exactly does it mean when artificial intelligence displays signs of bias and how did it get there in the first place?
Artificial intelligence is the development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. Here is a closer look at several different types of Artificial Intelligence:
Scientists usually program this basic type of AI to provide a predictable output based on the input it is fed. Reactive machines are set to react to identical situations in the exact same way every time with no deviations. The Netflix recommendation engine is a great example of this type of artificial intelligence. This AI cannot learn actions or function beyond the tasks that they have been initially designed for. However, reactive AI is the foundation for the next type of AI.