Mitigating algorithmic bias Even after understanding and measuring bias in ML, the job is only half done. The next logical step is to implement strategies for mitigating bias. Various techniques exist, each with its strengths and weaknesses, and a combination of these strategies can often yield the best results. Here are some of the most […]