Chat-GPT Flashcards

(22 cards)

1
Q
A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What is artificial intelligence (AI)?

A

Intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and animals.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What is the difference between Narrow AI and General AI?

A

Narrow AI (Weak AI) performs specific tasks in well-defined domains, while General AI (Strong AI) aims to replicate human intelligence and handle any intellectual task.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What is machine learning?

A

A field concerned with creating programs that automatically improve through experience.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What is a heuristic in AI?

A

A technique that provides quick, approximate solutions when classical methods are too slow or complex.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What is universal design in AI?

A

Creating AI systems that are accessible and inclusive for all users, regardless of abilities or differences.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What is deep learning?

A

A subset of machine learning that uses multi-layer neural networks.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What is robotic process automation (RPA)?

A

Technology that enables software robots to perform complex, repetitive tasks automatically, with or without intelligence.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Name two applications of machine learning.

A

Examples include prediction, object recognition, classification, clustering, and recommendations.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What are the three main types of data structures?

A

Structured, Semi-structured, and Unstructured data.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What does data ‘accuracy’ refer to in data quality?

A

How closely data reflects real-world objects or events; being free from errors.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

List the 5 characteristics of data quality.

A

Accuracy, Completeness, Uniqueness, Consistency, Timeliness.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What is big data?

A

Large, complex datasets characterized by Volume, Velocity, and Variety (and sometimes Veracity and Value).

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

What is data visualization?

A

The representation of data using graphics like charts, plots, and infographics.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

What are the stages of the machine learning process?

A

Analyse the problem, Data selection, Pre-processing, Visualisation, Model selection, Training, Testing, Repeat, Review.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Why is data pre-processing important?

A

It prepares data for model training, improving accuracy and results by cleaning and transforming it.

17
Q

How can AI be used to automate repetitive tasks?

A

AI can handle tasks like data entry, document management, and quality control.

18
Q

How can generative AI be used in content creation?

A

It can generate text, images, videos, and music, useful in marketing and design.

19
Q

What is the difference between ethics and law?

A

Ethics are moral principles guiding behavior; laws are formal rules enforced by authorities.

20
Q

What are three key ethical concerns of AI?

A

Bias and discrimination, data privacy, and impact on employment.

21
Q

What are the UK AI principles?

A

Safety, Transparency, Fairness, Accountability, Contestability.

22
Q

What is ISO 42001?

A

A governance framework for managing AI responsibly, with focus on risk, ethics, and compliance.