A bank is developing an algorithm that will help them decide who to make loans to. As input the algorithm will consider information about the person applying for the loan and the amount of money requested, and as output the algorithm will decide whether the bank should give that loan.
The bank intends to develop the algorithm using machine learning techniques. The algorithm will be trained using data from past loan decisions made by human bankers.
Which of the following best describes whether this algorithm will include bias?
Group of answer choices
A. While the algorithm may be biased, the eventual decision made the algorithm will not be
B. The algorithm will not be biased because using machine learning eliminates human biases
C. Machine learning algorithms cannot be developed using biased data so if there is bias in the data it will be impossible to develop the algorithm
D. The algorithm will likely reflect the human biases in the data used to train it
E. The histogram chart below has a single bar for every state in the United States. Each state is placed in a bucket, or range, based on its area in square miles.

Answer: A

Explanation:

Just took this and got it right

Answer:

The answer is D

Explanation:

Since it is made by humans there will surely be bias in making the algorithm and the algroithm will reflect that bias from the people that made it. Also I got this question and I got it right.