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Algorithmic Bias Reading Respone

  • ywen44
  • 2021年11月18日
  • 讀畢需時 2 分鐘

AI is a perfect computing tool. Its computing power and ability to deal with things are far beyond human beings. But the only disadvantage of AI is that there is no emotion. Human beings are animals that can think with emotion. They are empathetic and think from the perspective of others. AI is the simplest and most effective way to solve any problem. In terms of algorithmic bias, it may lead to serious consequences, such as AI recognition function. I often use it to search the source of an image. However, you can't get results every time but give some similar pictures. For example, when you put in a yellow person, its search results show pictures of people with small eyes. This deviation will make people feel discriminated against.


I think the existence of algorithm deviation will really hurt us, but it is also the only way for the development of AI. Only by constantly trying and improving can we improve the situation at this stage. Now the development of science and technology is faster and faster. I believe that one day the algorithm deviation will be solved, and I also know that it is a very difficult thing. Because the scope of this problem that needs to be solved is too broad. A little deviation will lead to this problem. Therefore, this problem will always be with us until we achieve absolute accuracy and develop new algorithms.


We should first admit that AI is still imperfect at this stage, which has limitations. We need to take measures to ensure that the data we provide for the algorithm is diversified. Especially when developing applications, we should consider that these applications will have a serious impact on the life and health of people who directly or indirectly use them. Also, companies that develop AI applications are more transparent about their products. At present, most companies tend to hide the internal operation of their algorithms as trade secrets. This makes it difficult to carefully examine these algorithms and find potential pain points.


 
 
 

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