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 overview of the state of the art in abusive language detection will be given. One key difficulty is to build appropriate gold standards for the task which serve as
a basis for machine learning methods. In that context, the phenomenon of “spurious correlations” will be illustrated. In terms of classifiers, a lexicon-based approach will be outlined. Unlike
previous off-the-shelf methods that are usually treated as a black box, lexicon-based approaches are more explainable, less susceptible to overfitting and more stable across different domains. Predictive word lists can be compiled in a resource-intensive way combining various sources of linguistic information. As an alternative, a data-driven less resource-intensive induction method relying on emojis with an abusive connotation will also be presented.

(Please note that the presentation will be held
in German.)

Michael Wiegand obtained his PhD at Saarland University in 2011. Until 2018, he had been a postdoctoral researcher at the Department for Spoken Language Systems at Saarland University. In 2019, he was research group leader in the Leibniz ScienceCampus Empirical Linguistics and Computational Language Modeling (Leibniz Institute for the German Language, Mannheim/Heidelberg University). Since 2020, he has been a professor for Computational Linguistics in the Digital Age Research Center (D!ARC) at University of Klagenfurt.

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 2020 vermehrt diskutiert. In Datenbanken verfügbare museale Objekte unterstützen Forschungsvorhaben ebenso wie das Bewahren und die Vermittlung. Im Vortrag wird ein Blick auf die Herausforderungen und Möglichkeiten der Digitalisierung in Museen am Beispiel der Abteilung Deutsches Museum Digital geworfen. Ausgehend von den verschiedenen Stationen, vom 3D Scan Labor, über die Online-Bereitstellung der Digitalisate bis hin zur Entwicklung virtueller Museumswelten wird der Zyklus der Digitalisierung von Museumsobjekten vorgestellt. Was passiert mit dem Objekt, wenn es ins Museum kommt? Welche einzelnen Prozesse müssen zusammenwirken, um das Museumserlebnis digital zu erweitern? Und, wie können digitale Angebote die museale Vermittlung erweitern und wann stößt sie an ihre Grenzen?

CV:

Dr. Andrea Geipel ist stellvertretende Leiterin der Abteilung Deutsches Museum Digital sowie Leiterin des Proxy (vormals VRlab) am Deutschen Museum. Seit 2018 beschäftigt sie sich zentral mit Themen des Digital Storytelling mit speziellem Fokus auf Extended Reality Angebote. Sie studierte Sportwissenschaften mit den Schwerpunkten Neuropsychologie und Motor Control und schloss ihr Studium 2014 ab. Am Munich Center for Technology in Society (Technische Universität München) promovierte sie über den Einfluss von YouTube‘s Plattformpolitiken auf die Wissenschaftskommunikation. 2020 gründete sie zusammen mit Anke von Heyl und Johannes Sauter den „DigaAMus-Award“ für digitale Museumsangebote.

D!ARC Lectures 24.11.2022 Automating Criminal Justice

24^th 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 well as in education and employment. Applied to social platforms, they have contributed to the distortion of democratic processes, such as general elections. This trend is a part of “algorithmic governmentality” (Rouvroy and Berns, 2013) and the increased influence of mathematics on all spheres of our lives. It is a part of “solutionism”, whereby tech companies offer technical solutions to all social problems, including crime. Despite the strong influence of mathematics and statistical modelling on all spheres of life, the question of “what, then, do we talk about when we talk about ‘governing algorithms’?” (Barocas et al., 2013) remains largely unanswered in the criminal justice domain. How does the justice sector reflect the trend of the “algorithmisation” of society and what are the risks and perils of such? The purpose of the talk is to, first, examine the more fundamental changes in knowledge production in criminal justice settings occurring due to over-reliance on the new epistemological transition, and second, to show why automated predictive decision-making tools are often at variance with fundamental liberties and also with the established legal doctrines and concepts of criminal procedure law.

CV

Dr. Aleš Završnik is the Director of the Institute of Criminology at the Faculty of Law in Ljubljana and Full Professor at the Faculty of Law University of Ljubljana, Slovenia. His research interest lay in the intersection of law, crime, technology, and fundamental rights.

Dr. Aleš Završnik was EURIAS / Marie Curie Fellow at the Collegium Helveticum (ETHZ) in Zürich (2017/18) and also postdoctoral fellow of the Norwegian Research Council at the University of Oslo and at the Max-Planck-Institute für ausländisches und internationals Strafrecht in Freiburg i. Br.

Among several others, he led a research project “Automated Justice: Social, Ethical and Legal Implications” (Slovenian Research Agency, 2018–21) and “Human Rights and Regulation of Trustworthy Artificial Intelligence” (Slovenian Research Agency and several Ministries, 2019–21).

He edited several books, such as Big Data, Crime and Social Control (Routledge, 2018) and Automating crime prevention, surveillance, and military operations (Springer, 2021) and published several articles in the field of law, technology and human rights, such as the article “Algorithmic Justice” (European Journal of Criminology, 2019). He organised several conferences in these research areas over the last 15 years, e.g. Automated Justice: Algorithms, Big Data and Criminal Justice Systems in Zürich (2018) and Big Data: Challenges for Law and Ethics in Ljubljana (2017).

Završnik collaborated with the European Commission for the Efficiency of Justice (CEPEJ) on the preparation of the “Ethical Charter on the Use of Artificial Intelligence in Judicial Systems” (2018). He is an independent Ethics Expert with the European Research Council (ERC) (from 2017).

Address:

Prof. Dr. Aleš Završnik

Institute of Criminology at the Faculty of Law, Ljubljana

Poljanski nasip 2

SI-1000 Ljubljana, SLOVENIA

P: +386 1 4203 251

E: ales [dot] zavrsnik [at] pf [dot] uni-lj [dot] si

F: +386 1 4203 245

W: www.inst-krim.si

„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 is an associated researcher at the Digital Culture Research Group.

The workshop is open for all levels and no prior knowledge of ethnomethodology is required to take part. The event will be held in English. If you have further questions or want to register for the workshop, please send an e-mail to: clara [dot] hoestermann [at] aau [dot] at

We are looking forward to welcoming you at the event.

When: 15th of November 2022 from 3 – 5 pm

Where: N.2.57 (AAU Campus)

You will find more information here. The Ethnomethodology of digital worlds

Andrei Korbut (Assoc. Researcher, D!ARC)

is an independent researcher with primary interest in ethnomethodological studies of human–computer interaction and, in particular, user encounters with artificial intelligence. He defended his PhD in Sociology in the Higher School of Economics (Russia) in 2014, and then worked as a researcher in several academic institutions in Russia. He applies ethnomethodology and conversation analysis to the research in digitalization of labor, communication with voice interfaces, and social transformation of homes by smart technologies.