Читать книгу Tech Trends in Practice - Бернард Марр, Bernard Marr - Страница 20

Put simply, AI is only as good as the data it’s trained with. If that data is biased or unreliable, then the results will be biased or unreliable. For example, facial recognition technology was found to be generally better at identifying white males than women and people of color, because a leading data set used to train facial recognition systems was estimated to be more than 75% male and 80% white – something that programmers were able to correct by adding a more diverse range of faces to the training dataset.²⁰ This means companies will need to ensure their data is as unbiased, inclusive, and representative as possible if they’re to get the best results from AI.