Explore gender fairness in machine learning algorithms through this insightful conference talk from the ACM womENcourage 2020 event. Delve into how learning algorithms can reinforce existing social and gender biases, emphasizing the importance of data collection, processing, and organization. Discover the significance of transparency and explainability in developing trustworthy AI. Learn from Dr. Silvana Badaloni, Associate Professor of Artificial Intelligence at the University of Padova, as she discusses gender equality in science, the scientific framework, and the Gender Equality Index. Examine case studies, AI architecture, and machine learning concepts, with a focus on gender-neutral algorithms and biases. Investigate diversity issues in facial recognition technology and explore examples from major tech companies. Gain valuable insights into the challenges and potential solutions for creating fair and unbiased AI systems in this comprehensive 23-minute presentation.