What is the reason for the standard error of coefficient estimates to be biased in conditional heteroskedasticity

Cause they are correlated with the level of the slope coefficients, so the variance is no constant (an assumption in multiple regression)

Can you please elaborate more?

as the level of the slope coefficients increase, the standard errors of estimate would do so. Then the errors would be biased and therefore unreliable