Accountability
Ethics & Safety
The principle that organizations and individuals must be responsible for their AI systems' actions and impacts.
Detailed Explanation
Accountability in AI ethics ensures that organizations and individuals are answerable for the design, deployment, and consequences of AI systems. It promotes transparency, ethical conduct, and responsibility, encouraging adherence to safety standards, addressing biases, and mitigating harm. This principle fosters trust, enables oversight, and ensures mechanisms are in place to hold stakeholders accountable for AI's societal impacts.
Use Cases
- •Implementing accountability measures to track AI decisions and address errors ensures responsible deployment and maintains user trust.
Related Terms
Other terms in the Ethics & Safety category