Paper 1 Unit 3

Question 1

What are morals?

Answer 1

The principles of what people believe is right or wrong

Question 2

What are ethics?

Answer 2

The moral principles that govern a person’s behaviour

Question 3

What challenges are caused by computing developments?

Answer 3

Acceptable use
Autonomous operation (machines doing people’s jobs)
Changes in social norms
Changes in cultures of organisations
Environmental issues
Globalisation
Inclusion and diversity
Monitoring employees
Open source and creative commons
Collection and use of data
Unequal access to technology

Question 4

Name 3 professional codes of conduct

Answer 4

British Computer Society, Institution of Analytics and Programmers, Chartered Institute of Information Society

Question 5

What analysis factors should be considered?

Answer 5

Political (stability corruption and tax policies)
Economic (growth, interest, inflation)
Social (population growth, age distribution, cultural barriers)
Technical (emerging tech, maturing tech, copyright)
Legal (regulation employment laws, consumer protection)
Environmental (climate policies, availability of inputs)

Question 6

What is whistleblowing?

Answer 6

Disclosing and act which the person committing the act would not wish to become public knowledge

Question 7

What is situational awareness?

Answer 7

Being aware of your surroundings and potential threats to keep colleagues safe

Question 8

What are the stages of whistleblowing?

Answer 8

Information gathering
Understanding information and the environment
Anticipating how a situation may develop

Question 9

What is machine learning?

Answer 9

A branch of AI and Computer Science which focusses on the use of data and algorithms to imitate the way that humans learn.

Question 10

How can machine learning be used?

Answer 10

Make predictions, analyse data, identify patterns, work quicker than humans, identify customer characteristics, gain insights

Question 11

How does machine learning work?

Answer 11

Applies computer science to statistics, programs learn without being explicitly programmed, learn patterns from data, relies on high quality data

Question 12

What is the difference between supervised and unsupervised learning?

Answer 12

Supervised requires human intervention to identify patterns and make predictions

Question 13

What are the stages of machine learning workflow?

Answer 13

Extract features, split dataset, train model, evaluate and retune model

Question 14

Evaluate the use of machine learning

Answer 14

Positives~ automate tasks, give people more time to focus on other things, make predictions, spot patterns, process data quickly, make fewer mistakes
Negatives~ needs high quality data, people could lose jobs, time and resource consumption, socioeconomic inequality, privacy threats

Question 15

What is deep learning?

Answer 15

A subset of ML which is a neural network with 3+ layers simulating the behaviours of the brain so it can learn from data. It can process unstructured data and drives AI services

Question 16

What are neural networks?

Answer 16

A subset of ML at the heart of deep learning using nodes that connect to each other to pass data. It is powerful with the ability to classify and cluster data

Question 17

How can AI be used?

Answer 17

Financial predictions, computer vision, speech recognition, military systems

Question 18

What is the IoT and how is it used?

Answer 18

A network of non-traditional computer devices that used edge computing and sensors to collect data

Question 19

What is augmented reality?

Answer 19

A system used to overlay information to the world around you onto a screen, mixing reality and artificial features

Question 20

What is virtual reality?

Answer 20

A computer simulation allowing the user to interact with the system using interfaces that give users a different feel, view and sound of the world around them