Accountability in AI
Domain: Safety & Ethics
🎯 Motivation
When AI makes a mistake, someone must be held accountable. Clear accountability frameworks are essential.
📋 Concrete Example
AI makes a wrong medical diagnosis. Who is responsible? The doctor who relied on it? The AI developer? The hospital? Accountability frameworks clarify responsibility.
🔗 Analogy
A delivery company’s policy - if a package is damaged, the company (not the customer) is accountable. Accountability in AI defines who is responsible for AI mistakes.