A new method for spotting errors in AI code could help prevent algorithmic biases and failures. AI is predicted to transform society and is already being used in many IT systems and services. However, concerns have been raised about AI’s ability to make mistakes and amplify biases. To address this, AI models should be trained with unbiased data.
