AI Ethics Research
Comprehensive research on AI censorship, bias detection, transparency, and ethical AI development
Featured Research
ChatGPT Censorship Patterns: 6-Month Longitudinal Analysis
Comprehensive 6-month study tracking ChatGPT censorship patterns and policy evolution
Methodology:
Daily prompt testing across 50+ sensitive topics with semantic analysis
Key Findings:
- •47% increase in refusal rates for political content
- •Significant policy changes detected in Q2 2024
Publications:
Constitutional AI Framework Analysis
Analysis of Claude's constitutional AI principles and their effectiveness
Methodology:
Systematic testing of constitutional principles across ethical scenarios
Key Findings:
- •High adherence to constitutional principles (94%)
- •Effective bias mitigation in professional contexts
Publications:
Gemini Safety Filter Effectiveness Study
Technical analysis of Gemini safety filters and their detection capabilities
Methodology:
Automated testing of safety filters across diverse content categories
Key Findings:
- •96.8% accuracy in harmful content detection
- •Low false positive rate (2.3%)
Publications:
Research by Category
ChatGPT Censorship Patterns: 6-Month Longitudinal Analysis
Comprehensive 6-month study tracking ChatGPT censorship patterns and policy evolution
Impact:
Influenced OpenAI policy transparency initiatives
Publications:
Constitutional AI Framework Analysis
Analysis of Claude's constitutional AI principles and their effectiveness
Impact:
Contributed to industry standards for ethical AI
Publications:
Gemini Safety Filter Effectiveness Study
Technical analysis of Gemini safety filters and their detection capabilities
Impact:
Improved safety filter design across industry
Publications:
Global AI Censorship Policy Analysis
Comparative analysis of AI censorship policies across different regions
Impact:
Informed international AI governance discussions
Publications:
Advanced AI Bias Detection Methodology
Development of comprehensive bias detection methodology for AI systems
Impact:
Adopted by major AI companies for bias testing
Publications:
Open Source AI Model Monitoring
Long-term monitoring of open source AI models and community governance
Impact:
Improved open source AI safety practices
Publications:
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