Turns out humans are leading AI systems astray because we can’t agree on labeling which is why we must adopt and adhere to open standards
…they can learn common patterns in data. But these labels aren’t always correct; training machines using error-prone datasets can decrease their performance or accuracy. In the aforementioned study, led by…