Data-driven discrimination: a new challenge for civil society

Data-driven technologies have been a transformative force in society. However, while such innovations are often viewed as a positive development, discriminatory biases embedded in these technologies can serve to compound problems for society's more vulnerable groups. Having recently published a report on automated discrimination in data-driven systems, Jędrzej Niklas and Seeta Peña Gangadharan explain how algorithms discriminate, why this raises concerns for civil society organisations across Europe, and what resources and support are needed by digital rights advocates and anti-discrimination groups in order to combat this problem.