The world’s leading publication for data science, AI, and ML professionals.

Explore the Technical Approaches to Mitigating Algorithmic Bias

Now that the machine learning community has recognized the need to take algorithmic bias seriously, it's time to explore potential ways to…

EXPLORING DATA SCIENCE

Want a Challenging but Rewarding Read? Explore the Technical Approaches to Mitigating Algorithmic Bias

Now that the machine learning community has recognized the need to take Algorithmic Bias seriously, it’s time to explore potential ways to mitigate it – including algorithmic solutions. In this article, former DeepMind Research Engineering intern Joyce Xu asks, "how, algorithmically, can we ensure that the models we build are not reflecting and magnifying human biases in data?" From adversarial de-biasing to distributionally robust optimization, Joyce dives into several key potential fixes. A great long read!

Algorithmic Solutions to Algorithmic Bias: A Technical Guide


Related Articles