Understanding bias in LLM-generated code

Biased algorithms or code are where certain groups systematically get favorable treatment from the code or certain groups are disadvantaged. Those who get preferential treatment can have more accurate or more impactful outcomes because of this unfairness. Those who are disadvantaged would get worse treatment than the others, which works to make a more unfair world. A systematic error.

This bias can be accidental and just the way that members of society think and have always thought [diananaeem01_fairness]. This is very important to correct because a great deal of our world relies on software: police patrols, parole decisions, food production, conservation efforts, clean energy generation, energy usage metrics, sporting progression, commercial and military logistics, medical scans, medical treatments, loans, social media, other news streams (and, therefore, politics and social trends), even court cases, and much more.

If we have biased...