Can biased people create unbiased algorithms?

Algorithms are already amongst us to a great extent. Some of them taking important decisions such as helping in the judiciary system to determine potential for recidivism, supporting decisions to renew or not a loan, or in which shares to invest our money, and even diagnosing whether our cell samples are malign or not, which determines the treatment we receive and the insurance we are offered. While their use has great potential to help us become more accurate and reach better decisions, they come with a series of problems including privacy issues, risk of bias, error, accountability questions and lack of transparency. The widespread adoption of artificial intelligence depends on trust. And we can only deem an algorithm trustworthy if we understand how it is reaching its decisions if we understand how it works.