Algorithmic Transparency

Algorithmic transparency refers to the openness and clarity surrounding how algorithms make decisions or predictions. It involves understanding the data and methods used by these algorithms, as well as the reasoning behind their outputs. This transparency is crucial for building trust, ensuring accountability, and identifying potential biases or errors in automated processes, such as those used in social media, hiring, or criminal justice. By being transparent, organizations can provide insights into their algorithms, allowing users to see how decisions are made and enabling informed discussions about their impact on society.