Data walking in Klagenfurt

How do districts differ in terms of building and hedge height and what does this tell us about affluence? Where are the servers located, that QR codes in Klagenfurt link to and how are they globally distributed? How is noise and pollution (unequally) present in the city and what quality criteria can be established for measurement and interpretation? These are some of the questions that a group of MA and PhD students from the Universities of Klagenfurt and Graz investigated on a data walk – with inspiring insights. Read more →

Katharina Kinder-Kurlanda im Interview mit der Kleinen Zeitung vom 8. April 2023

IM GESPRÄCH: Interview mit der Kleinen Zeitung vom 8. April 2023. Katharina Kinder-Kurlanda erforscht an der Universität Klagenfurt, wie Menschen, Daten und Algorithmen interagieren. Computerspielen bedeute auch, Informationen über die eigene Person zu teilen, so die Wissenschaftlerin.

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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 Doktorarbeit zu Diskriminierung und Fairness in KI-Systemen (Visitenkarte ) im Fach Wissenschafts- und Technikforschung.

“Die Welt und unsere Gesellschaft sind von Ungleichheit geprägt, wie sollen da die Daten für eine künstliche Intelligenz völlig objektiv sein. Das ist utopisch”, erklärt Miriam Fahimi, die am Digital Age Research Center der Universität Klagenfurt zum Thema ‚faire Algorithmen‘ forscht. (Auszug aus dem Interview)

Den gesamten Artikel gibt es hier zu lesen: Zeitalter der KI 

Wir gratulieren Miriam Fahimi zu Ihrem Interview und freuen uns über weitere Erkenntnisse aus ihrer laufenden Arbeit.

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 arise when engineering systems in such a way that as little information as possible is leaked about cryptographic secrets. Over the years a range of mathematical and engineering techniques have been researched (and in part deployed) to account for, and mitigate, information leakage. Research in this area requires to carefully consider how developed techniques (that describe and analyse information leakage) not only help developers and evaluators, but if and how these can play into the hands of potential adversaries.

 

CV

Elisabeth Oswald completed her PhD in Technical Mathematics at the Technical University in Graz. Thereafter she took up a lecturing position in the Computer Science Department at the University of Bristol, where she established a research group in the area of applied cryptography, with an emphasis on analysing side channels. Eventually she was promoted to the first female chair in the Bristol Computer Science department. Her scientific accomplishments were honoured by an EPSRC Leadership Fellowship, an ERC Consolidator grant, and a number of best paper awards. She serves as associate editor of the two most influential journals in the are of cryptography, and participates regularly in leading functions for research funding institutions. Since 2019 she holds a chair in Cybersecurity research at the University of Klagenfurt.

 

For those who can only participate in this D!ARC Lecture online, see added the corresponding link for the live stream:

Für jene, denen nur eine online-Teilnahme an dieser D!ARC Lecture möglich ist, finden Sie anbei den entsprechenden Link für den Livestream:

https://classroom.aau.at/b/sag-893-nqz-qhq