In today’s digital age, algorithmic decision-making systems play a crucial role in fields like credit scoring and medical diagnoses. While they are often praised for being ‘objective,’ these systems can exhibit biases, mostly stemming from the data they rely on. […]
“Dignitary privacy is based on a belief that privacy is intrinsically valuable, whereas resource privacy is based on a belief that privacy is simply a tool that has instrumental value.”
Hughes, RL David. […]
In a recent article in the Stanford Social Innovation Review, a group of authors “define a social license as the process of building trust and legitimacy from ongoing (i.e., constantly renewed) community or stakeholder engagement and acceptance of how data is being accessed and reused.” […]
The term data subject refers to an individual whose data are used in data science research using de-identified, public datasets. […]