Event

Half-day conference on Algorithmic bias 22 September

On Tuesday, 22 September, CEPDISC is organising a half-day conference on the challenge of “Algorithmic bias” together with the Danish Data Ethics Council and the Algorithms, Data and Democracy (ADD) Project.

Info about event

Time

Tuesday 22 September 2026,  at 13:00 - 16:30

Location

Moesgaard Museum

Organizer

CEPDISC / Maj Thimm Carlsen

On Tuesday, 22 September, we are organising a half-day conference on the challenge of “Algorithmic bias” together with the Danish Data Ethics Council and the Algorithms, Data and Democracy (ADD) Project.

We will explore how we address algorithmic bias: through new legislation? New technology? Or by making better use of the tools and regulations we already have?

If you are interested in the topic, the event is free to attend, but sign-up is necessary.

Note: Expect parts of the program to be in Danish.

Place: Moesgaard Museum

Time: 13:00-16:30

Programme:

  • Guest lecture by Professor Deborah Hellman, University of Virginia School of Law (USA)
  • Practice-based presentations on experiences addressing algorithmic bias from the Danish Police, Novo Nordisk, and ATP
  • Panel debate on how society should address algorithmic bias, featuring representatives from the Danish Data Ethics Council, Danish researchers, and politicians

Meet, among others, Johan Busse, Chair of the Danish Data Ethics Council and Head of Legal Affairs at the Danish Institute for Human Rights; Sofie Therese Svendsen (Conservative People's Party); Stefen Helledie (Social Liberal Party); Professor Kasper Lippert-Rasmussen, Centre for the Experimental-Philosophical Study of Discrimination (CEPDISC), Aarhus University; Professor Sine Nørholm Just, Algorithms, Data and Democracy Project and Roskilde University; Professor Thomas Hildebrandt, Department of Computer Science, University of Copenhagen; Eske Hare Jakobsen and Julia Ballaschk, National Special Crime Unit; Lars Pilegaard Thomsen, Novo Nordisk; and Brian Andersen, ATP.

Read more and sign up: https://www.dataetiskraad.dk/arrangementer/algoritmisk-bias (page in Danish)