alpha is where you set your significance, eg p = 0.05. Increasing the sample size reduces the chance of a type 1 error (eg finding a difference when none exists), but it doesn't affect the alpha level; only the researcher can do that and better have a damn good reason why he thinks an alpha level of 0.1 or w/e is valid.