Transparency
Domain: Safety & Ethics
🎯 Motivation
AI systems should be transparent about how they work, what data they use, and why they make certain decisions.
📋 Concrete Example
Transparency: ‘This AI was trained on public web data. It uses a transformer model. Its decisions are based on patterns in that data. It may make mistakes.’ Open about capabilities and limitations.
🔗 Analogy
Nutrition labels on food - they tell you exactly what is inside. Transparency in AI means telling users what is inside the AI: data, methods, limitations.