Algorithmic Transparency in Machine Learning

Algorithmic transparency in machine learning refers to the clarity and openness about how algorithms make decisions. It involves understanding the processes and data that influence these decisions so that users can trust the outcomes. When algorithms are transparent, it helps identify potential biases, ensures accountability, and enables users to comprehend how and why certain results are achieved. This transparency is crucial in fields like healthcare, finance, and law, where algorithm decisions can significantly impact people's lives. Ultimately, it promotes fairness and ethical use of technology by making the workings of algorithms accessible and understandable.