 Algorithmic transparency

Algorithmic transparency refers to the extent to which the operations and decisions of algorithms (especially those used in artificial intelligence and machine learning) can be understood by humans. It involves making the inner workings and decision-making processes of algorithms visible and comprehensible to stakeholders, including users, developers, and regulatory bodies. Key aspects of algorithmic transparency include: 1. **Interpretability**: The ability to explain how and why an algorithm reaches a specific decision or output.