Metadata
Interdisciplinary / Other Undergraduate Analyze Medium
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Metadata

  • Subject

    Interdisciplinary / Other

  • Education level

    Undergraduate

  • Cognitive goals

    Analyze

  • Difficulty estimate

    Medium

  • Tags

    privacy, algorithmic bias, predictive policing, public safety, ethics, policy

  • Number of questions

    5

  • Created on

  • Generation source

    Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini

  • License

    CC0 Public domain

  • Prompt

    Assess students' ability to analyze trade-offs among data privacy protections, algorithmic bias risks, and public safety effectiveness when deploying AI-driven predictive policing; scope includes data governance and anonymization strategies, fairness metrics and mitigation, evaluation of effectiveness metrics, legal and ethical implications, and policy decision-making using case scenarios.
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Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.