output
20172026
most citedFactuality Challenges in the Era of Large Language Models

163 citations

Showing cs.CYShow all

8 papers · 1 filter

cs.CY2026★ 1 cited

What is Safety? Corporate Discourse, Power, and the Politics of Generative AI Safety

Ankolika De, Gabriel Lima, Yixin Zou

This work examines how leading generative artificial intelligence companies construct and communicate the concept of "safety" through public-facing documents. Drawing on critical d…

cs.CY2025★ 23 cited

How malicious AI swarms can threaten democracy: The fusion of agentic AI and LLMs marks a new frontier in information warfare

Daniel Thilo Schroeder, Meeyoung Cha, Andrea Baronchelli +19

Advances in AI offer the prospect of manipulating beliefs and behaviors on a population-wide level. Large language models and autonomous agents now let influence campaigns reach un…

cs.CY2025

Campus AI vs Commercial AI: A Late-Breaking Study on How LLM As-A-Service Customizations Shape Trust and Usage Patterns

Leon Hannig, Annika Bush, Meltem Aksoy +2

As the use of Large Language Models (LLMs) by students, lecturers and researchers becomes more prevalent, universities - like other organizations - are pressed to develop coherent…

cs.CY2024★ 4 cited

An Evidence-Based Curriculum Initiative for Hardware Reverse Engineering Education

René Walendy, Markus Weber, Steffen Becker +2

The increasing importance of supply chain security for digital devices -- from consumer electronics to critical infrastructure -- has created a high demand for skilled cybersecurit…

cs.CY2024★ 7 cited

Public Opinions About Copyright for AI-Generated Art: The Role of Egocentricity, Competition, and Experience

Gabriel Lima, Nina Grgić-Hlača, Elissa Redmiles

Breakthroughs in generative AI (GenAI) have fueled debates concerning the artistic and legal status of AI-generated creations. We investigate laypeople's perceptions ()…

cs.CY2023★ 91 cited

Fairness and Bias in Algorithmic Hiring: a Multidisciplinary Survey

Alessandro Fabris, Nina Baranowska, Matthew J. Dennis +5

Employers are adopting algorithmic hiring technology throughout the recruitment pipeline. Algorithmic fairness is especially applicable in this domain due to its high stakes and st…

cs.CY2022★ 34 cited

(Re)Politicizing Digital Well-Being: Beyond User Engagements

Niall Docherty, Asia J. Biega

The psychological costs of the attention economy are often considered through the binary of harmful design and healthy use, with digital well-being chiefly characterised as a matte…

cs.CY2021★ 1 cited

Are Privacy Dashboards Good for End Users? Evaluating User Perceptions and Reactions to Google's My Activity (Extended Version)

Florian M. Farke, David G. Balash, Maximilian Golla +2

Privacy dashboards and transparency tools help users review and manage the data collected about them online. Since 2016, Google has offered such a tool, My Activity, which allows u…