Machine learning is a very complicated field as it has the potential to be biased. It brings a lot of data and research to the computer program so that it does its job to learn what it needs to do. For exampe. automative vehicles. They need data to collect from how other people drive and learn to be more careful. However, there are times in which these machines don't have the capicty to think ahead or react like humans do. Machine learning can be a very complicated concept. If its not given the right data or enough then it's at risk of being bias. Knowing that machines aren't all that smart then we should be aware of the consequences relting on these things from chat gpt to automated vehicles.
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