What is algorithmic bias?

Systematic errors in AI creating unfair outcomes

What is NOT a risk listed under “overcollection”?

Legal compliance improving transparency

What does the term “black box algorithm” mean?

An AI whose inner logic is not transparent

What does the McKinsey guardrail system primarily involve?

Scanning outputs, fixing flagged content, and enforcing standards

What is AI governance primarily concerned with?

Ensuring AI systems are safe, fair, transparent, and accountable

What do the FOECD Principles on AI emphasize?

Well-being, transparency, and fairness

What is a danger of AI?

Algorithmic bias & discrimination

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AI

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Questions 10

Answers

1
What is algorithmic bias?
Systematic errors in AI creating unfair outcomes
A fair process that treats everyone equally
An encryption method
A tool for cybersecurity
2
If you built an AI system that refused to explain its decisions, what problem would that illustrate?
Black box opacity
Compliance
Algorithm alignment
Data minimization
3
What is NOT a risk listed under “overcollection”?
Democratic erosion via facial recognition
IoT devices gathering data constantly
Surveillance capitalism selling data
Legal compliance improving transparency
4
What does the term “black box algorithm” mean?
An AI whose inner logic is not transparent
A machine that processes packages
A device for physical security
An algorithm used for encryption
5
What does the McKinsey guardrail system primarily involve?
Selling AI solutions to enterprises
Training employees to code AI from scratch
Developing marketing strategies for AI startups
Scanning outputs, fixing flagged content, and enforcing standards
6
What is AI governance primarily concerned with?
Replacing human workers
Optimizing profits through automation
Speeding up data collection
Ensuring AI systems are safe, fair, transparent, and accountable
7
What do the FOECD Principles on AI emphasize?
Well-being, transparency, and fairness
Reducing the number of data laws
Maximizing profits for AI companies
Reducing the number of data laws
8
Which device might be quietly contributing to ‘overcollection’ in your home?
Dining table
Bookshelf
Microwave
Smartwatch
9
Which of these is NOT listed as an example of how AI is used in enterprises?
Astrophysics Modeling
Predictive Analysis
Fraud Detection
Customer Service Automation
10
What is a danger of AI?
Boosting cybersecurity threat detection
Algorithmic bias & discrimination
Personalizing healthcare recommendations
Streamlining hiring through resume scanning

AI Flashcards | StudBud

AI

10 termsStudBud Administration16 plays

Imported from external platform

Flashcards10 cardsFPractice quizPHost liveL

Questions 10

Answers

1
What is algorithmic bias?
Systematic errors in AI creating unfair outcomes
A fair process that treats everyone equally
An encryption method
A tool for cybersecurity
2
If you built an AI system that refused to explain its decisions, what problem would that illustrate?
Black box opacity
Compliance
Algorithm alignment
Data minimization
3
What is NOT a risk listed under “overcollection”?
Democratic erosion via facial recognition
IoT devices gathering data constantly
Surveillance capitalism selling data
Legal compliance improving transparency
4
What does the term “black box algorithm” mean?
An AI whose inner logic is not transparent
A machine that processes packages
A device for physical security
An algorithm used for encryption
5
What does the McKinsey guardrail system primarily involve?
Selling AI solutions to enterprises
Training employees to code AI from scratch
Developing marketing strategies for AI startups
Scanning outputs, fixing flagged content, and enforcing standards
6
What is AI governance primarily concerned with?
Replacing human workers
Optimizing profits through automation
Speeding up data collection
Ensuring AI systems are safe, fair, transparent, and accountable
7
What do the FOECD Principles on AI emphasize?
Well-being, transparency, and fairness
Reducing the number of data laws
Maximizing profits for AI companies
Reducing the number of data laws
8
Which device might be quietly contributing to ‘overcollection’ in your home?
Dining table
Bookshelf
Microwave
Smartwatch
9
Which of these is NOT listed as an example of how AI is used in enterprises?
Astrophysics Modeling
Predictive Analysis
Fraud Detection
Customer Service Automation
10
What is a danger of AI?
Boosting cybersecurity threat detection
Algorithmic bias & discrimination
Personalizing healthcare recommendations
Streamlining hiring through resume scanning