Subject UT1 Flashcards

(33 cards)

1
Q

What are the six stages of the AI Project Cycle

A

Problem scoping data acquisition data exploration modelling evaluation deployment

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2
Q

What is the purpose of problem scoping

A

To define the goal and understand the problem

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3
Q

What is data acquisition

A

Gathering data from reliable sources

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4
Q

What is data exploration

A

Visualizing data to find patterns and relationships

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5
Q

What happens during the modelling stage

A

Selecting and testing different models

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6
Q

What is deployment in the AI Project Cycle

A

Integrating the AI solution into the real world

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7
Q

What are the three domains of AI

A

Statistical data computer vision natural language processing

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8
Q

What is statistical data in AI

A

Using large datasets to derive insights and make decisions

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9
Q

Give an example of statistical data usage

A

Price comparison websites

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10
Q

What is computer vision

A

Teaching machines to interpret and understand visual information

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11
Q

Give one example of computer vision application

A

Facial recognition or self driving cars

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12
Q

What is natural language processing

A

Enabling computers to understand and respond to human language

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13
Q

Give an example of NLP

A

Email spam filters or language translation

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14
Q

What is a framework

A

A structured approach to solve problems step by step

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15
Q

What is an ethical framework

A

A structured guide to help make morally responsible decisions

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16
Q

Why do we need ethical frameworks for AI

A

To prevent harm and ensure morally acceptable outcomes

17
Q

Name two main types of ethical frameworks

A

Sector based and value based

18
Q

What is a sector based framework

A

Ethical approach customized for a specific field like healthcare

19
Q

What is a value based framework

A

Framework that focuses on ethical principles and values

20
Q

What are the three value based ethical frameworks

A

Rights based utility based virtue based

21
Q

What is bioethics

A

An ethical framework used in healthcare and life sciences

22
Q

What are the four principles of bioethics

A

Respect for autonomy do not harm maximum benefit justice

23
Q

What is Artificial Intelligence

A

A technique that enables machines to mimic human intelligence

24
Q

What is Machine Learning

A

A subset of AI that improves performance with data and experience

25
What is Deep Learning
A subset of ML that uses large datasets and self training algorithms
26
What is labeled data
Data that has tags or labels indicating outcomes
27
What is unlabeled data
Data without any attached tags or known outcomes
28
What is supervised learning
Learning using labeled data to predict outcomes
29
Give one example of supervised learning
Predicting if an email is spam or not
30
What is unsupervised learning
Learning from unlabeled data to find patterns and groups
31
Give one example of unsupervised learning
Customer segmentation based on shopping habits
32
What is reinforcement learning
Learning through trial and error to maximize rewards
33
Give one example of reinforcement learning
A robot learning to walk or park a car