Mini toolsDefinition
The principle that organizations and individuals must be responsible for their AI systems' actions and impacts.
Detailed Explanation
Accountability in AI involves clear allocation of responsibility for AI system outcomes, mechanisms for auditing and oversight, and processes for redress when systems cause harm. It includes technical measures for tracking decisions and organizational structures for managing AI risks.
Use Cases
Financial trading systems with clear responsibility chains, healthcare AI with liability frameworks, automated decision systems with appeal processes
