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Algorithmic Accountability

Algorithmic Accountability

[ˌælɡəˈrɪðmɪk əˈkaʊntəˌbɪlɪti]
Ethics & Safety
Last updated: December 9, 2024

Definition

The principle that organizations must be responsible for their algorithmic systems' decisions and impacts.

Detailed Explanation

Algorithmic accountability involves mechanisms to ensure transparency fairness and responsibility in automated decision-making systems. It includes requirements for documentation testing monitoring and remediation of algorithmic systems.

Use Cases

AI audit trails Impact assessments Bias monitoring systems Accountability reporting

Related Terms

Existential Risk

The potential for advanced AI systems to pose a fundamental threat to human existence or civilization.

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AI Policy

Organizational or governmental guidelines that govern the development deployment and use of AI systems.

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Process-Based Supervision

AI safety approach supervising the AI's reasoning process, not just the final outcome.

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