Data Hazards

Autor: Zelenka, Natalie, Di Cara, Nina
Rok vydání: 2022
Předmět:
DOI: 10.17605/osf.io/3fv7t
Popis: Data Hazards is a project to find a shared vocabulary for talking about worst-case scenarios of data science and to use that vocabulary to help people understand and avoid Data Hazards.
Databáze: OpenAIRE