Superwomen Shaping AI | Online
About this event
Industry diversity today is poor – only around 15& of women work in data science in Europe and this really does matter. There is an urgent need to ensure that AI systems do not discriminate inappropriately against any individual or group. If only certain groups of people build the technology then it is highly likely that discrimination will happen, even if the discrimination is not intentional. Hence, we need more women in this field, so the systems don’t discriminate against women.
Making sure female data scientists are much more visible is one of the first things we can do to start to fix this. Role models are vitally important in showing girls and women that they too can work in data science and that this career choice is an option for them. This is part of the wider work we need to do in getting young girls excited about coding and technology at an early age and encouraging them to study STEM subjects from young age.
Join us to discuss the impacts of diversity of all kinds - gender, race, socioeconomic and educational - can have on the field, ranging to AI ethics to the perception of a "data scientist."
