Can we get rid of bias in artificial intelligence?

To understand the problem of bias in artificial intelligence (AI), we have to understand the definitions of bias. The common definition of bias is that algorithms learn whatever patterns the creator of the data presents. AI bias is a bias that mirrors the prejudice of its creators or data, meaning that cognitive biases essentially are the root of all modern AI and data biases. These categories include: Too much information, not enough meaning, need to act fast, and what should we remember? It's out of these categories that modern AI biases arise.