Is Your AI Bias-Free?
Can AI ever be truly unbiased? Large language models are trained on huge amounts of online data. They don’t choose bias, but will inherit any societal or cultural biases in that data. When AI bias goes uncorrected, it can deepen inequalities, for example in healthcare, where historical data disparities skew how certain groups are seen and treated. Read more about what AI bias is and why bias-free AI be an impossible dream.
What AI is Changing About Data Careers – and What it Isn’t
AI is lowering the technical barriers to entry for working with data, but elevating the need for human judgment and critical thinking. Learn how we can adapt skills, structures, and strategies to meet new demands.
Mind the Data Gap: Bias Hiding in Plain Sight
“I use AI almost every day in my work here at KNIME. It has huge potential, but I’m very aware of its risk of perpetuating and amplifying biases rooted in the data used to train AI models. In her book, Invisible Women, Caroline Criado Perez discusses the ‘gender data gap’ — a profound lack of data about women that drives systemic discrimination and invisible bias, from product design to public policy. The examples are eye-opening!”
Roberto’s reading Invisible Women: Exposing Data Bias in a World Designed for Men.