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Automation & Control

Governments and companies are increasingly datafying there citizens and users, processing and deciding through algorithms, but does the developers of algorithms hold too much power?

How do we make sure that we use data in the most optimal way? Does seemingly objective processing of big data hold the truth or is it subject to (political) decisions by the developers that are kept too opaque at the moment? And if so what is the societal implications of issues such as inclusion, democracy and access, and how do we improve this?

More on this Grand Challenge

2020.01.28 | DATALAB, Disinformation, Data sharing and privacy, Algorithmic operation and control, Survival of Quality Content

DATALAB contributes to AoIR’s Internet Research Ethics Guidelines 3.0

As a reaction to new technological developments, including the political and institutional pressure on researchers, the Association of Internet Researchers (AoIR) has recently published the third edition of guidelines for ethics in Internet Research: “Ethical Guidelines 3.0” (IRE 3.0).

2019.12.17 | DATALAB, Algorithmic operation and control

Patients risk incorrect treatment when AI systems makes the wrong diagnosis (in Danish)

The AI developers' ability to interpret data correctly is alpha and omega when intelligent IT systems are used in the treatment of illnesses

2019.11.22 | DATALAB, Algorithmic operation and control, Data sharing and privacy

A social science perspective on the Next Generation Internet

In Brisbane, Australia, DATALAB gathered internet researchers from around the world for a workshop on the development of a more human-centered internet.