Page 207 - Artificial Intellegence_v2.0_Class_11
P. 207
Exercise
Solved Questions
SECTION A (Objective Type Questions)
uiz
A. Tick ( ) the correct option.
1. Erroneous assumptions in the machine learning process leads to .
a. AI ethics b. Machine learning
c. Supervised learning d. AI bias
2. AI bias is due to bias of the .
a. Programmer b. Machine
c. Company building the model d. None of these
3. What should we do if we find bias in an AI algorithm?
a. Change the algorithm
b. Discard the AI algorithm
c. Improve human-driven processes behind the algorithm
d. Both a and c
4. Which of the following is NOT a source of bias?
a. Data b. Algorithm
c. Technical strategy d. People
5. MIT grad student Joy Buolamwini was working with facial analysis software when she noticed a problem: the
software didn't detect her face—because the people who coded the algorithm hadn't taught it to identify a
broad range of skin tones and facial structures. This is an example of
a. Computer vision b. AI bias
c. NLP d. Data mining
6. Any can transfer from the programmer to the AI machine while the algorithm is being
developed.
a. Ethics b. Pattern
c. Bias d. Data
7. is used to deal with all ethical issues surrounding AI systems.
a. AI bias b. AI ethics
c. Machine learning d. Artificial intelligence
8. Algorithms are trained using skewed data. This is known as:
a. Data bias b. Societal bias
c. Algorithmic bias d. All of these
9. One way to reduce bias is:
a. The programmer should be held responsible for any bias
b. Ask no questions just train the machine
c. Companies should invest more, and take a multidisciplinary approach to bias investigations
d. Machines and humans should not work together
AI Values (Ethical Decision Making) 205

