Biased Algorithms Are Easier to Fix Than Biased People

As solutions implemented by artificial intelligence and machine learning become more popular, algorithmic bias is gaining more and more attention.
The consequences of algorithmic bias have an important impact on our lives, with obvious racial discrimination and gender discrimination, and even intensifies the contradiction of cultural differences. On a personal level, the algorithmic bias makes people place more value on identity traits, especially the filtering mechanisms of some search engines. An invisible screening mechanism labels people, like checking for qualified goods, and produces unfair treatment. From the national level, algorithmic discrimination will have a significant impact on the Internet environment and market. If the benefits and results brought by algorithmic discrimination are accepted and tolerated by everyone, it is very easy to cause social security risks.
In the face of algorithmic discrimination, we still have a lot of work to do and need to constantly strive to optimize the algorithmic structure and improve the Internet environment and bias.

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