code class$=$"asciimath"$>$You run the fraud team at a major bank. You have implemented a new system that uses artificial intelligence $($AI$)$ to identify transactions that might result from a scam. However, the AI is not perfect: The Al correctly flags $80\%$ of scam transactions as scams $($the true positive rate, or sensitivity$).$ The AI correctly flags $99\%$ of legitimate transactions as not being scams $($the true negative rate, or specificity$).$ You also know that $1$ in $10,000$ transactions relate to a scam. a$80\%$ to $99\%,$ or increasing the true negative rate $($specificity$)$ from $99\%$ to $99\mathrm{.}9\%?$ You do not need to make any mathematical calculations in answering this question $($although you are welcome to if it helps.$)$ Explain the intuition. $[2$ marks$]$