Is This a Good AI Decision?

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Evaluate different AI scenarios and decide whether they represent good or problematic decisions. Focus on fairness, responsibility, and the potential impact on people.

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Gabriela Maldonado

United States

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Is This a Good AI Decision?Online version Evaluate different AI scenarios and decide whether they represent good or problematic decisions. Focus on fairness, responsibility, and the potential impact on people. by Gabriela Maldonado 1 Which statement best describes bias in AI? a AI systems always make random mistakes b AI systems treat all groups equally c AI systems can produce unfair patterns based on data d AI systems only fail when broken 2 Why is fairness difficult to define in AI systems? a Because fairness is not important b Because AI cannot measure anything c Because all systems use the same data d Because different definitions lead to different outcomes 3 Which of the following is an example of a privacy trade-off? a Using less data to improve accuracy b Collecting more personal data to improve predictions c Removing all data from a system d Making systems slower 4 Who is responsible when an AI system causes harm? a Responsibility is often shared across multiple groups b Only the developer c Only the user d No one 5 Why can AI systems reflect real-world inequalities? a Because AI is always fair b Because AI learns from data that may already be biased c Because AI creates its own rules d Because AI ignores data 6 Which situation best shows unfair outcomes in AI? a A system works quickly b A system performs equally for all users c A system uses a large dataset d A system performs better for one group than another 7 Why can it be difficult to evaluate whether an AI system is fair? a Because AI systems always produce random results b Because fairness is not important in AI c Because AI systems do not use data d Because fairness can be defined in different ways 8 Why is transparency important in AI? a It makes systems faster b It guarantees fairness c It helps understand how decisions are made d It removes all bias

Is This a Good AI Decision?Online version

Evaluate different AI scenarios and decide whether they represent good or problematic decisions. Focus on fairness, responsibility, and the potential impact on people.

by Gabriela Maldonado

Which statement best describes bias in AI?

AI systems always make random mistakes

AI systems treat all groups equally

AI systems can produce unfair patterns based on data

AI systems only fail when broken

Why is fairness difficult to define in AI systems?

Because fairness is not important

Because AI cannot measure anything

Because all systems use the same data

Because different definitions lead to different outcomes

Which of the following is an example of a privacy trade-off?

Using less data to improve accuracy

Collecting more personal data to improve predictions

Removing all data from a system

Making systems slower

Who is responsible when an AI system causes harm?

Responsibility is often shared across multiple groups

Only the developer

Only the user

No one

Why can AI systems reflect real-world inequalities?

Because AI is always fair

Because AI learns from data that may already be biased

Because AI creates its own rules

Because AI ignores data

Which situation best shows unfair outcomes in AI?

A system works quickly

A system performs equally for all users

A system uses a large dataset

A system performs better for one group than another

Why can it be difficult to evaluate whether an AI system is fair?

Because AI systems always produce random results

Because fairness is not important in AI

Because AI systems do not use data

Because fairness can be defined in different ways

Why is transparency important in AI?

It makes systems faster

It guarantees fairness

It helps understand how decisions are made

It removes all bias

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Is This a Good AI Decision?

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About this activity

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Download the paper version to play

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Is This a Good AI Decision?Online version

by Gabriela Maldonado

Which statement best describes bias in AI?

Why is fairness difficult to define in AI systems?

Which of the following is an example of a privacy trade-off?

Who is responsible when an AI system causes harm?

Why can AI systems reflect real-world inequalities?

Which situation best shows unfair outcomes in AI?

Why can it be difficult to evaluate whether an AI system is fair?

Why is transparency important in AI?