Algorithmic Bias Mitigation
Ethics & Safety
The principle that organizations must be responsible for their algorithmic systems' decisions and impacts.
Detailed Explanation
Algorithmic accountability is the ethical obligation of organizations to take responsibility for the decisions and impacts generated by their algorithms. It involves transparency, oversight, and the ability to explain how algorithms function and influence outcomes. Ensuring accountability helps prevent biases, errors, and harm, fostering trust and aligning AI deployment with societal values and legal standards.
Use Cases
- •Implementing transparent audit processes to ensure AI systems meet ethical standards and address biases in healthcare diagnostics.
Related Terms
Other terms in the Ethics & Safety category