[ Archived Post ] Bias in AI

Please note that this post is for my own educational purpose.

Most algorithms are related to Deep learning → and many of the bias of human beings will carry over.

Bias → can happen in any stages of AI process → this is a very important question to tackle and create solutions. → fairness is a key question to answer.

The Data → itself can contain more bias data → such as light skin faces vs dark skin faces → or → amazon → remove females.

Preparing the data → feature engineering can also play a role in the creation of bias. This is a key is to tackle as well.

Which feature does AI choose → a hard question to answer.

Why is this hard to fix?

We might not even know that bias exists → we might not even know that a problem exists.

Not a lot of pre-trained model → does not care about the bias values → and this pre-trained model can carry over.

People who create ML → does not care about the social problems → just implement and beat the benchmark. (different social aspects have to come into play.).

We are addressing this problem as well → detect and fight back the bias process is critical.

A computer program used for bail and sentencing decisions was labeled biased against blacks. It’s actually not that clear.

An algorithm is a bias against towards black people → this is actually used in the court system.

A race is not used → so is this fair?

Since we do not care about the race → this seems pretty fair?

Black people are more likely to get a high score. (since some metadata does contribute).

However, there is some limit on how much an algorithm can be less bias.

Some other solutions do exist → but this is not an algorithm solution.

Machine Bias

Some girls went into trouble and charged with theft. So many people have done shady things and software → thought black people would again do criminal activity.

In this case, → the white person made another crime.

The guy on the left is in jail, and a risk score → might be a bias in the software.

So the algorithm thinks black people are more likely to do a crime.

The company did not open-source the used algorithm, hence we cannot know what the algorithm is doing exactly.

Some people were sent to prison due to the algorithms score. the

This is a problem → since more and more judges are using this system.

Some people do need to go to jail → but they get a low score, while other people get a higher score.

He had a lot of criminal charges → but had a low score from the software.

This is a social problem that needs to be solved for the children of the next generation.

Reference

1. The Algorithm Artificial intelligence, demystified
2. https://www.washingtonpost.com/news/monkey-cage/wp/2016/10/17/can-an-algorithm-be-racist-our-analysis-is-more-cautious-than-propublicas/?_hsenc=p2ANqtz-_pYlc_w8PUXF4mHLrGpAwGDfVHI-U7ttv1QHQL5c2dCQ96ubERTvjviZtsXvOYlVQMUgI2MXvtPgGu3jdwwbJZ2y2nE1tfRHB6aUtDOQ67g9uU-qY&_hsmi=69523284&noredirect=on&utm_term=.5ce043e85273
3. https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing?utm_campaign=the_algorithm.unpaid.engagement&utm_source=hs_email&utm_medium=email&utm_content=69523284&_hsenc=p2ANqtz-_pYlc_w8PUXF4mHLrGpAwGDfVHI-U7ttv1QHQL5c2dCQ96ubERTvjviZtsXvOYlVQMUgI2MXvtPgGu3jdwwbJZ2y2nE1tfRHB6aUtDOQ67g9uU-qY&_hsmi=69523284