Algorithmic Transparency

Algorithmic transparency refers to the practice of making the decision-making processes of AI systems understandable and explainable to relevant stakeholders, including regulators, auditors, and end users. Organizations require transparency mechanisms to understand how their AI models produce specific outputs, identify potential biases, and ensure compliance with regulations like GDPR and emerging AI laws. This visibility is critical for building trust, managing liability risks, and enabling meaningful human oversight of automated decisions that affect customers and employees.

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