Transforming the Digital Forschung und Kollaboration in algorithmischen Räumen
20th of March 2023 17 Uhr/ 5 pm HS 3/ Hörsaal 3 Antrittsvorlesung von Frau Univ.-Prof. Dr. Katharina Kinder-Kurlanda
Miriam Fahimi im Standard-Interview über Gefahren von Künstlicher Intelligenz
Miriam Fahimi (vom UZ D!ARC), Doktorandin im Projekt NoBIAS – AI without Bias (NoBIAS ), erzählt im Standard-Interview von den Gefahren von Künstlicher Intelligenz. Ihre Einsichten sind Teil ihrer laufenden […]
D!ARC Lectures: Cryptographic Engineering Research: Navigating Responsibility Univ.-Prof.Dr. Elisabeth Oswald
12th January 2023 17:30 Uhr/ 5.30pm Hörsaal 2/ HS 2 Cryptographic Engineering Research: Navigating Responsibility Univ.-Prof. Dr. Elisabeth Oswald Abstract This talk is about challenges that […]
D!ARC Lectures: Erkennung von Beleidigungen mithilfe computerlinguistischer Verfahren_Prof. Dr. Michael Wiegand
14th Dezember 2022 17 Uhr/ 5pm Hörsaal 2/ HS 2 Erkennung von Beleidigungen mithilfe computerlinguistischer Verfahren Prof. Dr. Michael Wiegand Abstract In this presentation, a brief […]
Virtuelle Museumswelten
June 19th 2023 / 4pm – 5.30 pm / HS 2 Einblicke in Digitalisierungsprozesse in Kultureinrichtungen Abstract: Über Digitalisierungsprozesse in Museen wird nicht erst seit Beginn der Pandemie […]
D!ARC Lectures 24.11.2022 Automating Criminal Justice
24th of November 2022 4 till 6 p.m. HS 5 Abstract Prof. Dr. Aleš Završnik Automated decision-making processes already influence how decisions are made in the financial industry, as […]
„Workshop: Ethnomethodology in the digital world with Andrei Korbut”
We at the D!ARC are excited to announce an upcoming workshop on ethnomethodological approaches to make sense of digital worlds. The workshop is being held by Andrei Korbut, PhD, who […]
Invitation D!ARC network meeting summer edition on August 18th
Dear colleagues, We are delighted to invite you to a summer edition of the D!ARC network. This time, we welcome Gabriel Grill from University of Michigan (USA). He will […]
Talk D!ARC Network: 18th of August 22: Data Sprint Learning. Exercising Proximity to Data in Teaching Situations.
Mr Grill from the University of Michigan will talk about: The use of opaque machine learning algorithms is often justified through testing and the calculation of standardized performance measures like […]
aau/MüllerFair algorithms
Those who have data often also wield power. Miriam Fahimi is a doctoral student at the Digital Age Research Center (D!ARC) and is working on the social effects that result from algorithms.
