arXiv subjects

Lukas Daniel Klausner

Publications and source records attributed to Lukas Daniel Klausner.

At least 19 recordsLinked to original sources

arXiv2026

AI of the People, by the People, for the People: A Social Choice Approach to Collective Control of Artificial Intelligence

With the growing adoption of AI systems, reasoning about how society can exert control over AI becomes an increasingly urgent problem. Existing work on democratic control largely focuses on macro-level governance. In contrast, we propose a new approach grounded in social choice theory, which we term collective control of artificial intelligence. We argue that collective input can and should be incorporated at multiple points across the ML development pipeline, from data collection through objective design to alignment. We further demonstrate that social choice provides a well-suited modelling language for the treatment of collective input across all stages and that its axiomatic methodology yields principled criteria for evaluating various control mechanisms. Overall, our conceptual contribution provides a mathematically grounded framework to implement and analyse collective control of AI systems.

cs.CY↗

arXiv2025

More on Halfway New Cardinal Characteristics

We continue investigating variants of the splitting and reaping numbers introduced in arXiv:1808.02442. In particular, answering a question raised there, we prove the consistency of $\mathrm{cof}(\mathcal{M})<\mathfrak{s}_{\frac{1}{2}}$ and of $\mathfrak{r}_{\frac{1}{2}}<\mathrm{add}(\mathcal{M})$. Moreover, we discuss their natural generalisations $\mathfrak{s}_ρ$ and $\mathfrak{r}_ρ$ for $ρ\in (0,1)$, and show that $\mathfrak{r}_ρ$ does not depend on $ρ$.

math.LO↗

arXiv2025

Small Towns, Big Questions: Methodological Insights into Use Case Selection for Digital Twins in Small Towns

Selecting appropriate use cases for implementing digital solutions in small towns is a recurring challenge for smart city projects. This paper presents a transdisciplinary methodology for systematically identifying and evaluating such use cases, drawing from diverse academic disciplines and practical expertise. The proposed methodology was developed and implemented in Lower Austria, with a particular focus on the small towns that are characteristic of a region lacking major urban centres. Through semi-structured interviews and collaborative workshops (e.g. a needs requirements workshop) with various relevant stakeholders, fifteen possible use cases were first identified. Then these use cases were categorised and assessed based on criteria such as feasibility, usefulness, the need for biological or human modelling, and overall complexity. Based on these characteristics, three use cases were selected for further development. These will be the basis of digital twin solutions for supporting decision-making and public outreach regarding policy decisions in those fields. Our proposed methodology emphasises stakeholder engagement to ensure robust data collection and alignment with practical requirements and the involved towns' current needs. We thus provide a replicable framework for researchers and practitioners aiming to implement digital twin tools in future smart city initiatives in non-urban and rural contexts.

cs.CY↗

arXiv2025

Surveillance Disguised as Protection: A Comparative Analysis of Sideloaded and In-Store Parental Control Apps

Parental control applications, software tools designed to manage and monitor children's online activities, serve as essential safeguards for parents in the digital age. However, their usage has sparked concerns about security and privacy violations inherent in various child monitoring products. Sideloaded software (i. e. apps installed outside official app stores) poses an increased risk, as it is not bound by the regulations of trusted platforms. Despite this, the market of sideloaded parental control software has remained widely unexplored by the research community. This paper examines 20 sideloaded parental control apps and compares them to 20 apps available on the Google Play Store. We base our analysis on privacy policies, Android package kit (APK) files, application behaviour, network traffic and application functionalities. Our findings reveal that sideloaded parental control apps fall short compared to their in-store counterparts, lacking specialised parental control features and safeguards against misuse while concealing themselves on the user's device. Alarmingly, three apps transmitted sensitive data unencrypted, half lacked a privacy policy and 8 out of 20 were flagged for potential stalkerware indicators of compromise (IOC).

cs.CR↗

arXiv2024

If It Looks Like a Rootkit and Deceives Like a Rootkit: A Critical Examination of Kernel-Level Anti-Cheat Systems

Addressing a critical aspect of cybersecurity in online gaming, this paper systematically evaluates the extent to which kernel-level anti-cheat systems mirror the properties of rootkits, highlighting the importance of distinguishing between protective and potentially invasive software. After establishing a definition for rootkits (making distinctions between rootkits and simple kernel-level applications) and defining metrics to evaluate such software, we introduce four widespread kernel-level anti-cheat solutions. We lay out the inner workings of these types of software, assess them according to our previously established definitions, and discuss ethical considerations and the possible privacy infringements introduced by such programs. Our analysis shows two of the four anti-cheat solutions exhibiting rootkit-like behaviour, threatening the privacy and the integrity of the system. This paper thus provides crucial insights for researchers and developers in the field of gaming security and software engineering, highlighting the need for informed development practices that carefully consider the intersection of effective anti-cheat mechanisms and user privacy.

cs.CR↗

arXiv2024

Unravelling the Use of Digital Twins to Assist Decision- and Policy-Making in Smart Cities

This short paper represents a systematic literature review that sets the basis for the future development of a framework for digital twin-based decision support in the public sector, specifically for the smart city domain. The final aim of the research is to model context-specific digital twins for aiding the decision-making processes in smart cities and devise methods for defining the policy agenda. Overall, this short paper provides a foundation, based on the main concepts from existing literature, for further research in the role and applications of urban digital twins to assist decision- and policy-making in smart cities. The existing literature analyses common applications of digital twins in smart city development with a focus on supporting decision- and policy-making. Future work will centre on developing a digital-twin-based sustainable smart city and defining different scenarios concerning challenges of good governance, especially so-called wicked problems, in smaller-scale urban and non-urban contexts.

cs.CY↗

arXiv2024

Continuum Many Different Things: Localisation, Anti-Localisation and Yorioka Ideals

Combining creature forcing approaches from arXiv:1003.3425 and arXiv:1402.0367, we show that, under CH, there is a proper $ω^ω$-bounding poset with $\aleph_2$-cc that forces continuum many pairwise different cardinal characteristics, parametrised by reals, for each one of the following six types: uniformity and covering numbers of Yorioka ideals as well as both kinds of localisation and anti-localisation cardinals, respectively. This answers several open questions from arXiv:1805.11005.

math.LO↗

arXiv2024

Warum wir es für eine gute Idee gehalten haben, eine DACH-Spieledatenbank aufzubauen

We are in the process of creating a database of digital games from the DACH region. This article provides an insight into the context in which it was created and the underlying methodological considerations behind the games database. The database was compiled collaboratively and lists digital games developed in Germany, Austria and Switzerland up to the year 2000. In this report, we outline our initial considerations and the various stages of realisation as well as the input data on which the database was built, the aims of the data model and the difficulties we faced during the creation process. We then pin down the current status of the games database and give an outlook on the project's future plans. -- Unser Werkstattbericht gibt Einblick in den Entstehungskontext sowie die zugrundeliegenden methodischen Überlegungen hinter der von den Autor*innen publizierten Spieledatenbank. Diese wurde kollaborativ erarbeitet und führt digitale Spiele, die in Deutschland, Österreich und der Schweiz bis zum Jahr 2000 entwickelt wurden. In diesem Bericht skizzieren wir neben unseren Ausgangsüberlegungen und den verschiedenen Arbeitsschritten bei der Realisierung außerdem auch, auf welcher Datenbasis die Datenbank aufgebaut und geprüft wurde, was die Ziele des Datenmodells sind und mit welchen Schwierigkeiten wir im Prozess der Erstellung konfrontiert waren. Hiernach ordnen wir den aktuellen Stand der Spieledatenbank ein und geben einen Ausblick auf die weiteren Pläne des Projekts.

cs.HC↗

arXiv2024

A Survey of Dataspace Connector Implementations

The concept of dataspaces aims to facilitate secure and sovereign data exchange among multiple stakeholders. Technical implementations known as "connectors" support the definition of usage control policies and the verifiable enforcement of such policies. This paper provides an overview of existing literature and reviews current open-source dataspace connector implementations that are compliant with the International Data Spaces (IDS) standard. To assess maturity and readiness, we review four implementations with regard to their architecture, underlying data model and usage control language.

cs.ET↗

arXiv2023

Delete My Account: Impact of Data Deletion on Machine Learning Classifiers

Users are more aware than ever of the importance of their own data, thanks to reports about security breaches and leaks of private, often sensitive data in recent years. Additionally, the GDPR has been in effect in the European Union for over three years and many people have encountered its effects in one way or another. Consequently, more and more users are actively protecting their personal data. One way to do this is to make of the right to erasure guaranteed in the GDPR, which has potential implications for a number of different fields, such as big data and machine learning. Our paper presents an in-depth analysis about the impact of the use of the right to erasure on the performance of machine learning models on classification tasks. We conduct various experiments utilising different datasets as well as different machine learning algorithms to analyse a variety of deletion behaviour scenarios. Due to the lack of credible data on actual user behaviour, we make reasonable assumptions for various deletion modes and biases and provide insight into the effects of different plausible scenarios for right to erasure usage on data quality of machine learning. Our results show that the impact depends strongly on the amount of data deleted, the particular characteristics of the dataset and the bias chosen for deletion and assumptions on user behaviour.

cs.LG↗

arXiv2023

"This (Smart) Town Ain't Big Enough": Smart Small Towns and Digital Twins for Sustainable Urban and Regional Development

One of the major challenges today lies in the creation of governance concepts for regional development that not only promote growth but, at the same time, ensure promotion of inclusiveness, fairness, and resilience. Digital twins can support policymakers in developing smart, sustainable solutions for cities and regions and, therefore, urban and non-urban environments. The project SCiNDTiLA (Smart Cities aNd Digital Twins in Lower Austria) aims to define the state-of-the-art in the field of smart cities, identify interdependencies, critical components and stakeholders, and provide a roadmap for smart cities with application to both smaller-scale urban and non-urban environments. SCiNDTiLA uses the foundations of complexity theory and computational social science methods to model Austrian towns and regions as smart cities/regions and thus as systems of socio-technical interaction to guide policy decision-making toward sustainable development.

cs.CY↗

arXiv2023

Smart Cities and Digital Twins in Lower Austria

Smart city solutions require innovative governance approaches together with the smart use of technology, such as digital twins, by city managers and policymakers to manage the big societal challenges. The project Smart Cities aNd Digital Twins in Lower Austria (SCiNDTiLA) extends the state of the art of research in several contributing disciplines and uses the foundations of complexity theory and computational social science methods to develop a digital-twin-based smart city model. The project will also apply a novel transdisciplinary process to conceptualise sustainable smart cities and validate the smart city generic model. The outcomes will be translated into a roadmap highlighting methodologies, guidelines and policy recommendations for tackling societal challenges in smart cities with a focus on rescaling the entire framework to be transferred to regions, smaller towns and non-urban environments, such as rural areas and smart villages, in ways that fit the respective local governance, ethical and operational capacity context.

cs.CY↗

arXiv2023

Halfway New Cardinal Characteristics

Based on the well-known cardinal characteristics $\mathfrak{s}$, $\mathfrak{r}$ and $\mathfrak{i}$, we introduce nine related cardinal characteristics by using the notion of asymptotic density to characterise different intersection properties of infinite sets. We prove several bounds and consistency results, e. g. the consistency of $\mathfrak{s} < \mathfrak{s}_{1/2}$, as well as several results about possible values of $\mathfrak{i}_{1/2}$.

math.LO↗

arXiv2023

Participatory Research as a Path to Community-Informed, Gender-Fair Machine Translation

Recent years have seen a strongly increased visibility of non-binary people in public discourse. Accordingly, considerations of gender-fair language go beyond a binary conception of male/female. However, language technology, especially machine translation (MT), still suffers from binary gender bias. Proposing a solution for gender-fair MT beyond the binary from a purely technological perspective might fall short to accommodate different target user groups and in the worst case might lead to misgendering. To address this challenge, we propose a method and case study building on participatory action research to include experiential experts, i.e., queer and non-binary people, translators, and MT experts, in the MT design process. The case study focuses on German, where central findings are the importance of context dependency to avoid identity invalidation and a desire for customizable MT solutions.

cs.CL↗

arXiv2023

"Schöne neue Lieferkettenwelt": Workers' Voice und Arbeitsstandards in Zeiten algorithmischer Vorhersage

The complexity and increasingly tight coupling of supply chains poses a major logistical challenge for leading companies. Another challenge is that leading companies -- under pressure from consumers, a critical public and legislative measures such as supply chain laws -- have to take more responsibility than before for their suppliers' labour standards. In this paper, we discuss a new approach that leading companies are using to try to address these challenges: algorithmic prediction of business risks, but also environmental and social risks. We describe the technical and cultural conditions for algorithmic prediction and explain how -- from the perspective of leading companies -- it helps to address both challenges. We then develop scenarios on how and with what kind of social consequences algorithmic prediction can be used by leading companies. From the scenarios, we derive policy options for different stakeholder groups to help develop algorithmic prediction towards improving labour standards and worker voice. -- Die Komplexität und zunehmend enge Kopplung vieler Lieferketten stellt eine große logistische Herausforderung für Leitunternehmen dar. Eine weitere Herausforderung besteht darin, dass Leitunternehmen -- gedrängt durch Konsument:innen, eine kritische Öffentlichkeit und gesetzgeberische Maßnahmen wie die Lieferkettengesetze -- stärker als bisher Verantwortung für Arbeitsstandards in ihren Zulieferbetrieben übernehmen müssen. In diesem Beitrag diskutieren wir einen neuen Ansatz, mit dem Leitunternehmen versuchen, diese Herausforderungen zu bearbeiten: die algorithmische Vorhersage von betriebswirtschaftlichen, aber auch ökologischen und sozialen Risiken. Wir beschreiben die technischen und kulturellen Bedingungen für algorithmische Vorhersage und erklären, wie diese -- aus Perspektive von Leitunternehmen -- bei der Bearbeitung beider Herausforderungen hilft. Anschließend entwickeln wir Szenarien, wie und mit welchen sozialen Konsequenzen algorithmische Vorhersage durch Leitunternehmen eingesetzt werden kann. Aus den Szenarien leiten wir Handlungsoptionen für verschiedene Stakeholder-Gruppen ab, die dabei helfen sollen, algorithmische Vorhersage im Sinne einer Verbesserung von Arbeitsstandards und Workers' Voice weiterzuentwickeln.

cs.CY↗

arXiv2023

Towards a Critical Open-Source Software Database

Open-source software (OSS) plays a vital role in the modern software ecosystem. However, the maintenance and sustainability of OSS projects can be challenging. In this paper, we present the CrOSSD project, which aims to build a database of OSS projects and measure their current project "health" status. In the project, we will use both quantitative and qualitative metrics to evaluate the health of OSS projects. The quantitative metrics will be gathered through automated crawling of meta information such as the number of contributors, commits and lines of code. Qualitative metrics will be gathered for selected "critical" projects through manual analysis and automated tools, including aspects such as sustainability, funding, community engagement and adherence to security policies. The results of the analysis will be presented on a user-friendly web platform, which will allow users to view the health of individual OSS projects as well as the overall health of the OSS ecosystem. With this approach, the CrOSSD project provides a comprehensive and up-to-date view of the health of OSS projects, making it easier for developers, maintainers and other stakeholders to understand the health of OSS projects and make informed decisions about their use and maintenance.

cs.SE↗

arXiv2022

"Es geht um Respekt, nicht um Technologie": Erkenntnisse aus einem Interessensgruppen-übergreifenden Workshop zu genderfairer Sprache und Sprachtechnologie

With the increasing attention non-binary people receive in Western societies, strategies of gender-fair language have started to move away from binary (only female/male) concepts of gender. Nevertheless, hardly any approaches to take these identities into account into machine translation models exist so far. A lack of understanding of the socio-technical implications of such technologies risks further reproducing linguistic mechanisms of oppression and mislabelling. In this paper, we describe the methods and results of a workshop on gender-fair language and language technologies, which was led and organised by ten researchers from TU Wien, St. Pölten UAS, FH Campus Wien and the University of Vienna and took place in Vienna in autumn 2021. A wide range of interest groups and their representatives were invited to ensure that the topic could be dealt with holistically. Accordingly, we aimed to include translators, machine translation experts and non-binary individuals (as "community experts") on an equal footing. Our analysis shows that gender in machine translation requires a high degree of context sensitivity, that developers of such technologies need to position themselves cautiously in a process still under social negotiation, and that flexible approaches seem most adequate at present. We then illustrate steps that follow from our results for the field of gender-fair language technologies so that technological developments can adequately line up with social advancements. ---- Mit zunehmender gesamtgesellschaftlicher Wahrnehmung nicht-binärer Personen haben sich in den letzten Jahren auch Konzepte von genderfairer Sprache von der bisher verwendeten Binarität (weiblich/männlich) entfernt. Trotzdem gibt es bislang nur wenige Ansätze dazu, diese Identitäten in maschineller Übersetzung abzubilden. Ein fehlendes Verständnis unterschiedlicher sozio-technischer Implikationen derartiger Technologien birgt in sich die Gefahr, fehlerhafte Ansprachen und Bezeichnungen sowie sprachliche Unterdrückungsmechanismen zu reproduzieren. In diesem Beitrag beschreiben wir die Methoden und Ergebnisse eines Workshops zu genderfairer Sprache in technologischen Zusammenhängen, der im Herbst 2021 in Wien stattgefunden hat. Zehn Forscher*innen der TU Wien, FH St. Pölten, FH Campus Wien und Universität Wien organisierten und leiteten den Workshop. Dabei wurden unterschiedlichste Interessensgruppen und deren Vertreter*innen breit gestreut eingeladen, um sicherzustellen, dass das Thema holistisch behandelt werden kann. Dementsprechend setzten wir uns zum Ziel, Machine-Translation-Entwickler*innen, Übersetzer*innen, und nicht-binäre Privatpersonen (als "Lebenswelt-Expert*innen") gleichberechtigt einzubinden. Unsere Analyse zeigt, dass Geschlecht in maschineller Übersetzung eine maßgeblich kontextsensible Herangehensweise erfordert, die Entwicklung von Sprachtechnologien sich vorsichtig in einem sich noch in Aushandlung befindlichen gesellschaftlichen Prozess positionieren muss, und flexible Ansätze derzeit am adäquatesten erscheinen. Wir zeigen auf, welche nächsten Schritte im Bereich genderfairer Technologien notwendig sind, damit technische mit sozialen Entwicklungen mithalten können.

cs.CL↗

arXiv2022

Wer ist schuld, wenn Algorithmen irren? Entscheidungsautomatisierung, Organisationen und Verantwortung

Algorithmic decision support (ADS) is increasingly used in a whole array of different contexts and structures in various areas of society, influencing many people's lives. Its use raises questions, among others, about accountability, transparency and responsibility. Our article aims to give a brief overview of the central issues connected to ADS, responsibility and decision-making in organisational contexts and identify open questions and research gaps. Furthermore, we describe a set of guidelines and a complementary digital tool to assist practitioners in mapping responsibility when introducing ADS within their organisational context. -- Algorithmenunterstützte Entscheidungsfindung (algorithmic decision support, ADS) kommt in verschiedenen Kontexten und Strukturen vermehrt zum Einsatz und beeinflusst in diversen gesellschaftlichen Bereichen das Leben vieler Menschen. Ihr Einsatz wirft einige Fragen auf, unter anderem zu den Themen Rechenschaft, Transparenz und Verantwortung. Im Folgenden möchten wir einen Überblick über die wichtigsten Fragestellungen rund um ADS, Verantwortung und Entscheidungsfindung in organisationalen Kontexten geben und einige offene Fragen und Forschungslücken aufzeigen. Weiters beschreiben wir als konkrete Hilfestellung für die Praxis einen von uns entwickelten Leitfaden samt ergänzendem digitalem Tool, welches Anwender:innen insbesondere bei der Verortung und Zuordnung von Verantwortung bei der Nutzung von ADS in organisationalen Kontexten helfen soll.

cs.CY↗