AI Ethics & Responsible Use
Our commitment to ethical AI practices and transparency
Core Ethical Principles
Bias Mitigation
All AI outputs are designed to minimize bias and provide balanced, evidence-based insights. We regularly audit our models for fairness and accuracy.
Transparency
We clearly disclose when AI is being used and provide confidence scores for all AI-generated content.
Privacy Protection
User data is never shared with third parties and all AI processing maintains user privacy and confidentiality.
Accountability
We take responsibility for AI outputs and provide mechanisms for users to report concerns or inaccuracies.
Data Usage & Privacy Policy
How We Use Your Data
- Personal Information: Used only to provide personalized learning experiences and track progress.
- AI Literacy Assessments: Results help us improve our AI models and provide better recommendations.
- Usage Analytics: Anonymous usage patterns help us optimize the platform's performance.
- Feedback & Bug Reports: Used to improve product quality and user experience.
Data Sharing
We never sell, rent, or share personal data with third parties. Data is only used internally for:
- Improving AI CogniFit's services
- Research on AI literacy patterns
- Platform security and maintenance
- Legal compliance and regulatory requirements
Your Rights
You have the right to:
- Access all personal data we hold about you
- Request correction of inaccurate data
- Request deletion of your account and data
- Opt out of non-essential data collection
- Export your data in a portable format
Bias Reporting & Mitigation
We are committed to identifying and addressing potential biases in our AI systems. If you encounter biased or inappropriate content, please report it immediately.
Report AI Bias or Issues
Found biased content, inappropriate responses, or other AI-related concerns?
Report AI IssueBias Types We Monitor
- • Gender and demographic bias
- • Cultural insensitivity
- • Political bias
- • Economic status assumptions
- • Accessibility limitations
Our Mitigation Strategies
- • Diverse training data curation
- • Regular bias audits
- • Human oversight and review
- • User feedback integration
- • Transparent confidence scoring
AI Transparency Reports
We publish regular reports on our AI systems' performance, bias mitigation efforts, and ethical considerations.
Q4 2025 Transparency Report
Published Nov 13, 2025Analysis of AI model performance, bias detection results, and user feedback integration.
Q3 2025 Transparency Report
Published Aug 15, 2025Focus on AI ethics training, data privacy measures, and accessibility improvements.
Contact & Accountability
Have questions about our AI ethics practices or concerns about AI usage on our platform?
Ethics Committee
Our independent ethics committee reviews AI practices and user concerns.
ethics@aicognifit.comResponse Times
- • Ethics concerns: Response within 24 hours
- • Bias reports: Investigation within 48 hours
- • Data requests: Response within 7 business days
- • General inquiries: Response within 48 hours