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

While the algorithm may be biased, the eventual decision made the algorithm will not be

The algorithm will not be biased because using machine learning eliminates human biases

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

The algorithm will likely reflect the human biases in the data used to train it

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.

Which of the following conclusions is BEST supported by the histogram chart?

Group of answer choices

The most common size of states is between 50,000 and 100,000 square miles

Some states are larger than 200,000 square miles

More than half of all states are larger than 100,000 square miles

More than half of all states are smaller than 50,000 square miles

Count of States by Area in Square Miles 24 Area (Square Miles) 18 12 (count) 6 0 0 50,000 100,000 150,000 200,000