Quiz on Bias in Algorithms and Hiring

Why might companies with more diverse employees perform better?

• They have more resources

• They have less competition

• They have a variety of perspectives

• They have stricter rules

What is a common misconception about computers and bias?

• Computers can solve all problems

• Computers cannot be biased

• Computers are always accurate

• Computers are easy to program

What is the role of algorithms in reinforcing biases?

• They eliminate biases

• They can reinforce biases

• They ignore biases

• They create new biases

What is the suggested initial step in applying for a new job?

• Writing a cover letter

• Networking with professionals

• Writing a resume

• Attending job fairs

What is an algorithm compared to in the text?

• A recipe

• A book

• A map

• A puzzle

What do computer scientists generally concentrate on?

• Theoretical aspects of computing

• Designing user interfaces

• Building computer hardware

• Writing novels

What issue did the medical school in London face with their algorithm in the 1980s?

• It discriminated against women and non-European people

• It was too slow to process applications

• It was too expensive to maintain

• It provided inaccurate medical diagnoses

What is the role of programmers in relation to algorithms?

• They write the algorithms

• They test the algorithms

• They market the algorithms

• They ignore the algorithms

What is a potential issue with telling an algorithm to ignore gender?

• It may become too slow.

• It may still pick up on related factors.

• It may become too complex.

• It may require more data.

What does Venkatasubramanian say about randomness in algorithms?

• It should be avoided at all costs.

• It can make algorithms more fair.

• It makes algorithms less efficient.

• It is unnecessary for fairness.