Fairness & Deepfakes: AI Ethics Quiz

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Test your understanding of AI fairness and deepfake risks.

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Ranya Alsuwaidi

United Arab Emirates

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Fairness & Deepfakes: AI Ethics Quiz


Froggy Jumps Fairness & Deepfakes: AI Ethics QuizOnline version Test your understanding of AI fairness and deepfake risks. by Ranya Alsuwaidi 1 What does 'algorithmic fairness' primarily aim to prevent in AI systems? a High computational cost b Slow model convergence c Unfair or biased outcomes across different groups 2 Which method helps reduce bias in AI training data? a Replacing data with synthetic samples only b Diverse, representative datasets c Using data from a single source 3 Deepfakes refer to AI-generated media that: a Falsely represents real people or events b Is never used for deception c Is always clearly labeled as AI 4 A common risk of deepfakes is: a Misinformation and undermining trust b Guaranteed authenticity checks c Increased hardware efficiency 5 Which practice enhances transparency in AI decisions? a Removing logs to simplify systems b Hiding model details to protect IP c Providing explanations or rationale for outputs 6 What is a fairness-aware evaluation metric? a Measuring performance across diverse demographic groups b Focusing only on overall accuracy c Ignoring demographic subgroups 7 Detection of deepfakes often relies on: a Forensic features and anomaly patterns b Only checking video length c Random guessing 8 Which principle supports responsible AI use? a Opacity of model training b Accountability for decisions and outcomes c Unrestricted data sharing 9 One way to mitigate deepfake harms is to: a Ignore suspicious content b Reduce external fact-checking c Promote media literacy and verification tools 10 What is a key challenge in achieving AI fairness? a Eliminating all errors entirely b Using identical data for everyone c Defining fair outcomes across intersecting groups

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Fairness & Deepfakes: AI Ethics Quiz

Froggy Jumps

About this activity

Created by

Download the paper version to play

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Fairness & Deepfakes: AI Ethics QuizOnline version

by Ranya Alsuwaidi

What does 'algorithmic fairness' primarily aim to prevent in AI systems?

Which method helps reduce bias in AI training data?

Deepfakes refer to AI-generated media that:

A common risk of deepfakes is:

Which practice enhances transparency in AI decisions?

What is a fairness-aware evaluation metric?

Detection of deepfakes often relies on:

Which principle supports responsible AI use?

One way to mitigate deepfake harms is to:

What is a key challenge in achieving AI fairness?