Ai For Everyone Coursera Week 4 Quiz Answers

Question 1

What are the current limitations of AI technology? (Select all that apply)1 point

AI technology can be biased

Explainability is hard

AI technology is susceptible to adversarial attacks

There are no limitations to AI technology

AI technology can discriminate

Question 2

What is the Goldilocks Rule of AI?1 point

One shouldn’t be too optimistic or too pessimistic about AI technology

An AI winter is coming

AI’s technology will continue to grow and can only benefit society

One should allocate many resources to defend the world from giant killer robots

Question 3

Say you are building an AI system to help make diagnoses from X-ray scans. Which of the following statements about explainability of AI do you agree with?1 point

Most AI systems are highly explainable, meaning that it’s easy for a doctor to figure out why an AI system gave a particular diagnosis.

Lack of explainability can hamper users’ willingness to trust and adopt an AI system.

Explainability is usually achieved through building a chatbot to talk to the user to explain its outputs.

AI systems are intrinsically “black box” and cannot give any explanation for their outputs.

Question 4

Using current AI technology, if a machine learning system learns from text that reflects unhealthy biases/stereotypes, then the resulting AI software may also exhibit similarly unhealthy biases/stereotypes.1 point



Question 5

Using current AI technology, if a machine learning system learns only from text that is completely neutral and does not reflect any gender biases, then we would expect it to exhibit no, or at most minimal, gender bias.1 point



Question 6

Which of these are good practices for addressing bias in AI? (Select all that apply)1 point

Using more inclusive/less biased data

Using an adversarial attack on the AI system to change its outputs to be less biased

Technical solution such as “zeroing out” bias

Systematic auditing processes to check for bias

Question 7

Which of these are examples of adversarial attacks on an AI system? (Select all that apply)1 point

Subtly modifying an audio clip to make a speech recognition system think someone said “Yes, authorized” when they actually said “No, reject.”

Adding a sticker to a stop sign to make an AI system fail to detect it.

Using AI to synthesize a fake video of a politician saying something they never actually said.

Subtly changing an image to make an AI system mistakenly recognize a dog as a cat.

Question 8

If a developing economy has a strong and thriving coffee bean manufacturing industry (or some other vertical industry), then it has an advantage in applying AI to coffee bean manufacturing (or other vertical industry).1 point



Question 9

What are the jobs that AI is most likely to displace over the next several years?1 point

Most jobs involving office work (white collar jobs)

Jobs that comprise primarily of routine, repetitive work

All jobs will be displaced

Jobs that comprise primarily of non-routine, non-repetitive work

Question 10

Congratulations! You deserve a pat on the back for finishing this course.1 point



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