Hey!

MachineLearningAnon Here! The whole "wokeness" and bullshit equality [discrimination] thing has come to the world of machines too.

Algorithms that make decisions are not woke by themselves. You have to make them woke. Here's how: https://docs.microsoft.com/en-us/learn/modules/detect-mitigate-unfairness-models-with-azure-machine-learning/

A question in the knowledge check:

1. You are training a binary classification model to support admission approval decisions for a college degree program. How can you evaluate if the model is fair, and doesn't discriminate based on ethnicity?

The [politically] "correct" answer is: Compare disparity between selection rates and performance metrics across ethnicities.

Some years ago, the correct answer would have been: Remove the ethnicity feature from the training dataset.

The who "ethical AI", "responsible AI" thing has nothing to do with killer robots or reputation systems. It is simply adding wokeness to automated decisions.

From another point view: Your statistician tells you something that is politically incorrect. You can accuse his/her models of being "unfair", "biased", "irresponsible"…etc.

I think that enemy money is propping up NYT subscriptions. Not hypnotised citizens, but malicious actors pumping online subscriptions.