Artificial Intelligence | New Breakthroughs In Solving Inequality

Jarvis+
6 min readMay 31, 2020

When we talk about artificial intelligence, they often describe him as an emotional, efficient task manager, indeed, to some extent. But when we think about it from a higher angle than Siri or Alexa, we can see that AI is helping people solve inequality problems. So far, AI has used several methods to solve the inequality problem, and may effectively solve social problems in more ways in the future.

Automate court and recruitment processes

Companies or governments can use machine learning to predict good candidates to hire, or they can decide the sentence by predicting the likelihood that the offender will commit another crime, thus reducing personal bias. The problem with this technology is that the machine learns from biased data, causing the machine to continue the error of the data: men are better candidates and white men are less likely to be sentenced to long-term imprisonment. Now, these machines are being retrained to eliminate this prejudice, this program does have potential.

In industries that have always been dominated by one gender, it is not because one gender has a higher talent for the industry, but because the recruitment manager may be biased against another gender and reject qualified candidates. By incorporating artificial intelligence into this process, we can eliminate gender bias and eliminate this inequality, thereby enabling companies to choose the right candidates based on their strengths.

Compared with inequality in recruitment, inequality in the prison and court systems will have a greater negative impact. In many cases, the judge seems to have lower penalties for a certain race. This is not necessarily a purposeful racism, but it may be rooted in stereotypes and prejudices that are difficult to detect. Therefore, it is not surprising to explore the idea of ​​applying machine learning to judges. AI will point out their history of possible prejudice against a case so they can correct themselves. Another idea is to have the machine create the recommended sentencing based on the specific circumstances of the case, which…

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