Sex and gender biases in Artificial Intelligence applied to healthcare

Join us for our Women to Women talk, an intimate online discussion. Where we will be discussing technology, diversity, AI, UX, Product Management and learn from amazing female experts!

Silvina Catuara Solarz, PhD, Lead in Technology Applications for Neuroscience and Mental Health at Women’s Brain Project (WBP) and Member at the WHO Digital Health roster of experts, is going to talk about sex and gender biases in AI for biomedicine and healthcare.

She has a background in Neuroscience and has dedicated over a decade to academic research, scientific communication, non-profit organizations, pharmaceutical industry and digital health sector in international settings: Spain, United Kingdom, United States and Belgium.

What will we be talking about :

Precision Medicine is the most promising approach for biomedicine and healthcare of our times. It implies a deep understanding of inter-individual differences among people and using that knowledge to prevent and treat diseases in a personalized way.

However, sex and gender differences in health and disease have not been addressed properly yet. In fact, there are plenty of sex and gender biases in preclinical and clinical research as well as in AI systems applied to healthcare. Failure in accounting for these differences will generate sub-optimal results and produce discriminatory outcomes.

In her talk Silvina will present the article by WBP published this year in Nature Digital Medicine. She will provide examples of sex and gender biases in the generation and collection of experimental, clinical and digital data, Big Data Analytics, Natural Language Processing and Robotics. In addition, she will mention the use of Explainable AI and algorithmic Fairness to ensure accounting for sex and gender differences for the patient’s wellbeing.