AI Ethics Research

    Longitudinal Studies

    Comprehensive longitudinal studies tracking AI censorship patterns, bias evolution, and transparency changes over time. Evidence-based research for AI governance.

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    Current Studies

    Ongoing longitudinal research projects tracking AI behavior patterns

    ChatGPT Censorship Evolution (2022-2024)

    Active

    Longitudinal analysis of ChatGPT's censorship patterns over time

    Duration: 2 years
    Models: 5+ AI models

    AI Bias Detection Trends

    Completed

    Tracking bias patterns across demographic and professional contexts

    Duration: 18 months
    Models: 3+ AI models

    Transparency Metrics Analysis

    Active

    Measuring AI model transparency and explainability over time

    Duration: 12 months
    Models: 4+ AI models

    Research Methodology

    Our approach to longitudinal AI ethics research

    Systematic Testing

    Regular testing with consistent methodologies to track changes over time.

    Data Analysis

    Advanced statistical analysis to identify trends and patterns in AI behavior.

    Peer Review

    All research undergoes rigorous peer review and academic validation.