Question

In: Computer Science

(c) Human intelligence can be flexible in response to its environment. This makes people able to...

(c) Human intelligence can be flexible in response to its environment. This makes people able to learn and master various skills. On the other hand, AI takes much time to adapt to new changes. In five points, give the 5 reasons that might be if an intruder detection system in a bank refuses to learn new things.

Solutions

Expert Solution

The 5 reasons which makes an AI unable to learn anything are :

>Insufficient training data is also another for the failure of AI until and unless there are proper labelled data then the AI won't be able to learn

>The lack of properly maitained data is one of the primary reasons that an AI cannot learn properly since the data is the source of its learning and some times those data are not properly represented by data analysts

>As an AI is trained or tested like black box testing which means that the AI does not give any reason for its choice so it is necessary for us to program AI in such a way that reasons can also be known for its choice so that it can be corrected for its wrong choice

>Developers must understand the meaningful business problems related with the AI project like if a bank system meant to detect an intruder uses an AI which is used to detect any obstacle for car parking will not be suitable so developers must equip and design AI accordingly to business requirements .

>The poor maitainance of an installed AI system also leads to its failure because one needs to regularly update the AI with new technology and data which will help the AI to learn and progress


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