IBM Addresses AI Ethics Bias

IBM's AI ethics framework addresses the amplification of biases in algorithms around race, gender, and other factors, as highlighted in the principle of beneficence which aims to prevent harm from prejudiced data. The content also notes instances of discrimination in AI applications, such as Amazon's gender-biased hiring tool and IBM's decision to sunset its facial recognition products to oppose uses like racial profiling and violations of human rights.