One of the most challenging aspects of artificial intelligence is keeping bias out of the algorithms. The bias starts with input data, so developing inclusive datasets is a priority. -By Belinda Jones

Ensuring AI training datasets are diverse and representative is crucial for building fair and unbiased AI systems. A massive amount of data is available for collection today, so one of the first steps for developing an unbiased AI project is determining the data sources. The source data that AI uses needs to reflect the purpose and criteria of the project, and it also needs to be free of biases that can distort outcomes. Gathering data from an extensive range of rele....