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AI Bias

Quiz by Jennifer Mulcahy

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4 questions
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  • Q1
    What is AI bias?
    When artificial intelligence systems are unable to make unbiased decisions.
    When artificial intelligence systems are designed to be neutral and fair at all times.
    When artificial intelligence systems exhibit prejudice or favoritism towards certain individuals or groups.
    When artificial intelligence systems are incapable of learning from data.
    30s
  • Q2
    What is an example of AI bias?
    An AI system that provides personalized recommendations based on user preferences.
    An AI-powered hiring system that disproportionately rejects job applications from women.
    An AI system that accurately predicts financial fraud based on data analysis.
    An AI system that translates languages in real-time.
    30s
  • Q3
    How can AI bias be mitigated?
    By ensuring diverse and representative training data, implementing algorithmic transparency and accountability, and involving diverse perspectives in the development process.
    By selecting an AI system that claims to be bias-free.
    By relying solely on human judgment and decision-making.
    By completely avoiding the use of artificial intelligence in decision-making processes.
    30s
  • Q4
    What is an example of implicit bias in AI?
    An AI system that detects fraudulent credit card transactions.
    An AI system that recommends movies based on user ratings.
    An AI-powered loan approval system that discriminates against individuals based on their race.
    An AI system that accurately predicts weather patterns based on historical data.
    30s

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