Gender Gap

The gender gap encompasses the disparities in representation and outcomes experienced by different genders across various domains, from scientific publications to technological applications. Current research focuses on identifying and mitigating biases, particularly in datasets used to train AI systems, by analyzing linguistic styles, visual features (like hairstyles in facial recognition), and social media data to quantify and understand these disparities. This work is crucial for improving fairness and accuracy in AI and for promoting equitable representation and evaluation in science and technology, ultimately leading to more inclusive and reliable systems.