Accessible education for anyone – anytime
Flagship 3 currently offers two MOOCs, with a third in development. “Thinking AI: Bringing together ethical, legal and social aspects of AI” is a text-based course. “Data Literacy - What is it and Why Does it Matter?” is a video-based course hosted on Coursera, with over 24,000 registered users. A follow-up course will focus on Generative AI Literacy, consolidating and expanding the scope of the existing MOOCs.
The MOOC on Data Literacy highlights that data is not neutral. Our values and assumptions are influenced by the data surrounding us - the data we create, the data we collect, and the data we share with each other. Economic needs, social structures, or algorithmic biases can have profound consequences for the way we collect and use data. Most often, the result is an increase in inequity in the world. Data also changes the way we interact. It shapes our thoughts, our feelings, our preferences, and our actions. It determines what we have access to, or don’t. It enables global dissemination of best practices and life-improving technologies, as well as the spread of mistrust and radicalization. This is why data literacy matters.
Universities: Charles University, Sorbonne University, University of Milan, University of Copenhagen, University of Warsaw
Lead university: Sorbonne University; University of Copenhagen
Target audience: Everyone
Previous editions
Thinking AI: Bringing together ethical, legal and social aspects of AI
Data Literacy - What is it and Why Does it Matter?
See also the Thinking AI project
Contact: : Marco Salazar, Sorbonne University, marco-antonio.salazar_navarrete@sorbonne-universite.fr; Morten Misfeld, University of Copenhagen, misfeldt@di.ku.dk