... government data. The presence of algorithmic bias within OGD presents challenges for fair decision-making processes when integrated with AI systems. The inherent biases present in OGD data sets become magnified through machine learning algorithms which then produce discriminatory results...

... to a set of rules is what is known as an algorithm (Hill, 2016). In a ML model, the term “bias” should not be confused with algorithmic bias. Algorithmic biases may be influenced by three elements, including design bias (model, data and method), contextual bias (cultural, social and personal...