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Genealogy In Children

Decent Essays
Looking at a child’s personal characteristics, demographics, and genealogy in order to predict how susceptible he/she is important research. With this information, we as a society can help those that are more likely to become criminals at an early age. The use of technology can streamline this data and help us predict criminal behavior quicker and more accurately. As defined by Haag, S., & Cummings, M. (2013), “a neural network is an artificial intelligence system that is capable of finding and differentiating patterns”. Neural networks can be applied in this situation to identify, classify, and predict the susceptibility of becoming a criminal.
A neural network’s accuracy depends on the data provided to the network. In this case, in order
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Although genealogy is important it is also trickier to predict something as severe as criminal behavior. The fact that a kid is left vs right handed or has blue eyes vs brown eyes, does not accurately predict criminal behavior. But other inherited characteristics could contribute. For example, children predisposed to inheriting a learning disability should be recognized by the neural network. As stated above, education is a key demographic and if a child has a hard time learning, then they may be at risk of committing crime. Again, these characteristics are a lot more difficult to account for and should only be part of the neural network to improve accuracy of results.
In conclusion, neural networks in this situation can be used to identify, classify, and predict the susceptibility of a child becoming a criminal. However, the results and accuracy of the prediction are only as good as the data provided to the network. In order for a neural network to help predict criminal tendencies of a child, it must include personal characteristics, demographics, and genealogy. With this information, we as a society can help those that are more likely to become criminals at an early age and reverse the trend of crime in the
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