What does data minimization mean in AI systems?

Collects only necessary user information

How can engineers avoid ethical issues in AI deployment?

Test models in diverse real-world settings

Why is explainability important in engineering applications of AI?

To allow engineers to trust and validate AI

How do engineers ensure AI remains aligned with safety standards during operation?

By monitoring system outputs with predefined constraints

Why is transparency important in AI development?

Builds trust in system decision-making

What should be prioritized when AI makes decisions about safety systems?

Ensuring human review and oversight

Which factor most affects the reliability of an AI system used in structural fault detection?

Quality and diversity of training data

How can bias be introduced into AI systems unintentionally?

Through unbalanced or incomplete data

How can transparency in AI benefit end users?

Builds understanding and consent

What is Artificial Intelligence (AI)?

The ability of machines to mimic human intelligence

What is a key ethical concern when using AI for hiring engineers?

Algorithms may reinforce existing human biases

What ethical guideline should engineers follow with AI outputs?

Validate results before making decisions

What is a major benefit of using AI in engineering?

Improved efficiency and accuracy

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The Impact of Artificial Intelligence on Engineering and Society

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Questions 20

Answers

1
What does data minimization mean in AI systems?
Compresses all project files to become smaller
Collects only necessary user information
Limits the number of program loops
Reduces the depth of neural layers
2
How can engineers avoid ethical issues in AI deployment?
Use multiple backup formats
Test models in diverse real-world settings
Lock files behind admin passwords
Limit data to grayscale images
3
Why is explainability important in engineering applications of AI?
To reduce system noise
To allow engineers to trust and validate AI
To replace all decision-makers
To enable faster programming of the system
4
In AI-driven predictive maintenance, what type of algorithm is typically used to classify machine behavior?
Evolutionary algorithms
Supervised learning
Reinforcement learning
Blockchain protocols
5
Why is explainability critical in AI safety systems?
It increases log file timestamps
It supports multi-core processing
It improves file storage formats
It helps validate AI decisions
6
How do engineers ensure AI remains aligned with safety standards during operation?
By encrypting design files needed by the system to run smoothly
By re-training the model monthly
By monitoring system outputs with predefined constraints
By reducing sensor usage
7
What best describes "informed consent" in AI systems?
Allowing team access to code
Using encrypted cloud software
Exporting logs after processing
Getting user approval
8
Why is transparency important in AI development?
Improves project rendering speed of the project
Makes code easier to compile
Builds trust in system decision-making
Allows for data format selection of the pre production
9
What should be prioritized when AI makes decisions about safety systems?
Minimizing file transfer time
Ensuring human review and oversight
Increasing sensor frequency rates
Standardizing the API integration steps
10
What is a major ethical issue with facial recognition at work sites?
Low accuracy on sunny days
Misidentifies individuals
Forces longer battery life cycles
Requires night vision cameras
11
Which field uses AI for structural health monitoring?
Mechanical Engineering
Civil Engineering
Biomedical Engineering
Electrical Engineering
12
What is a major ethical concern of AI in engineering?
Battery lifespan of the product
Algorithmic bias and fairness
Color choices in UI
Screen resolution
13
Which factor most affects the reliability of an AI system used in structural fault detection?
Operating system used for training
Size of the engineering team
Quality and diversity of training data
Number of images used in reports
14
How can bias be introduced into AI systems unintentionally?
Through incorrect output formatting
Through unbalanced or incomplete data
Through complex file structures
Through excessive hardware usage
15
Which AI technology helps detect diseases from X-rays?
Machine Learning
Augmented Reality
Blockchain
CAD software
16
How can transparency in AI benefit end users?
Reduces button loading delays
Enhances access to backend and front end
Shortens model build time
Builds understanding and consent
17
What is Artificial Intelligence (AI)?
The ability of machines to mimic human intelligence
A programming language
A type of hardware used in robots
A set of manual instructions for machines
18
What is a key ethical concern when using AI for hiring engineers?
Overuse of email screening
Algorithms may reinforce existing human biases
Limited interview time cobnstraints
Lack of applicant training data needed to process the output
19
What ethical guideline should engineers follow with AI outputs?
Reduce output file naming length
Validate results before making decisions
Automate all report generation
Share only encrypted files and folders
20
What is a major benefit of using AI in engineering?
Increased manual labor
Improved efficiency and accuracy
less paperwork in the office and workplace
good production cycles of products

The Impact of Artificial Intelligence on Engineering and Society Flashcards | StudBud