Algorithmic Bias Explained

Artificial intelligence is often perceived as neutral, yet it can perpetuate existing biases when trained on historical data. This leads to troubling outcomes in hiring and criminal justice, as algorithms may exclude underrepresented groups. The need for diverse teams in tech development is critical to mitigate these biases and ensure fairer outcomes.