Melda Salhab

Imagine a world where AI reinforces harmful stereotypes, where data visualisations perpetuate gender inequalities, and where data science projects fuel discriminatory practices. This is the hidden danger of data bias, a pervasive issue that lurks within seemingly objective algorithms and models.

This talk delves into the dark side of AI, exploring how data bias can manifest in various forms, from biased data collection to discriminatory algorithms. Using impactful examples, particularly focusing on gender bias, we’ll expose the insidious ways data can be manipulated and misinterpreted, leading to skewed outcomes and unfair consequences.