Transparency Requirements
Ethics & Safety
The openness and clarity about how AI systems work, make decisions, and use data.
Detailed Explanation
Transparency in AI refers to openly sharing how AI systems operate, including data usage, decision-making processes, and underlying algorithms. This clarity helps users understand AI behavior, fosters trust, and allows for accountability. It is essential for identifying biases, ensuring ethical use, and enabling effective oversight to promote safe and responsible AI deployment.
Use Cases
- •Use case: Enhancing user trust and accountability by clearly explaining AI decision processes and data handling in financial services applications.
Related Terms
Other terms in the Ethics & Safety category