It is the product of the Hessian and the variance of the score function.

It is the inverse of the expected Fisher Information.

It is defined as $A B^{-1} A$, where $A$ is the expected Hessian and $B$ is the variance of the score function.

It equals the sample variance of the parameter estimate.