Page 162 - AI Computer 10

c. One advantage of AI in education is that it can create personalised learning packages, best suited for
each student’s capability and learning speed. One limitation of the system is over-dependence on the
system and potential bias because of historical data.
2. A city installs AI-powered facial recognition cameras to enhance security. While crime rates drop, concerns
arise over mass surveillance and privacy violations. Citizens feel their movements are constantly tracked,
and misuse of data becomes a risk. Based on the information given, answer the following questions:
a. What is the primary ethical concern in using facial recognition AI?

b. How can AI-based surveillance systems protect privacy?
c. What is a possible consequence of AI-driven mass surveillance?
Ans:

a. The main ethical concern in using facial recognition AI is privacy concerns and potential misuse of
personal data.

b. The system can protect privacy by implementing strict data access policies, transparency, and
obtaining consent from the users.
c. A possible consequence of AI-driven mass surveillance system is loss of civil rights or biased profiling.

AI Assessment Zone

A. Tick () the correct answer.

1. What is the last step in the AI Project Cycle?
a. Data Modelling b. Data Explorati on

c. Evaluati on d. Deployment
2. Which stage involves finding all kinds of unknown patterns in data?

a. Data Modelling b. Data Explorati on
c. Evaluati on d. Problem Scoping

3. Which stage involves interpreting useful information from collected data to understand its quality and
nature?

a. Data Modelling b Data Explorati on
c. Problem Scoping d. Data Acquisiti on

4. Which of the following domains is responsible for the development of self-driving cars that requires
millions of images and thousands of hours of video?
a. Natural Language Processing b. Computer Vision

c. Data d. Scope
5. What is the objective of the Problem Scoping stage in an AI project cycle?
a. To collect data

b. To understand the aim and objecti ve of the project

c. To train the model
d. To process data

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