96 citations · 388 across the 37 of their papers we have counts for
10 papers · 1 filter
Beyond the Traceback: Using LLMs for Adaptive Explanations of Programming Errors
Alexandru-Radu Moraru, Shreyan Biswas, Ujwal Gadiraju
Programming error messages are critical for software development, yet they remain difficult for novice programmers to interpret. While Large Language Models (LLMs) can rewrite thes…
The Belief Update Gate: Separating Inertia from Learning in Human-AI Interaction
Shreyan Biswas, Alexander Erlei, Ujwal Gadiraju
Repeated human-AI interaction is often analyzed through pooled belief-updating slopes: users observe AI successes and failures, revise reported beliefs in the feedback-consistent d…
AI at the Front Lines of Platform Governance: Using LLMs to Support Illegal Content Reporting under the Digital Services Act
Marie-Therese Sekwenz, Shreyan Biswas, Rita Hermann-Gsenger +1
Illegal content reporting mechanisms are a key technical and organizational measure through which online platforms address illegal content under the European Union Digital Services…
Keeping an Eye on AI: A Framework for Effective Human Oversight of AI Systems
Susanne Gaube, Markus Langer, Tim Miller +17
The use of Artificial Intelligence (AI) in high-risk, decision-making scenarios presents technical, safety, and normative challenges; problems that may only be ameliorated by human…
The Data-Dollars Tradeoff: Privacy Harms vs. Economic Risk in Personalized AI Adoption
Alexander Erlei, Tahir Abbas, Kilian Bizer +1
Privacy concerns significantly impact AI adoption, yet little is known about how information environments shape user responses to data leak threats. We conducted a 2 x 3 between-su…
Belief Updating and Delegation in Multi-Task Human-AI Interaction: Evidence from Controlled Simulations
Shreyan Biswas, Alexander Erlei, Ujwal Gadiraju
Large language models (LLMs) increasingly support heterogeneous tasks within a single interface, requiring users to form, update, and act upon beliefs about one system across domai…
When Life Gives You AI, Will You Turn It Into A Market for Lemons? Understanding How Information Asymmetries About AI System Capabilities Affect Market Outcomes and Adoption
Alexander Erlei, Federico Cau, Radoslav Georgiev +3
AI consumer markets are characterized by severe buyer-supplier market asymmetries. Complex AI systems can appear highly accurate while making costly errors or embedding hidden defe…
Incentive-Tuning: Understanding and Designing Incentives for Empirical Human-AI Decision-Making Studies
Simran Kaur, Sara Salimzadeh, Ujwal Gadiraju
AI has revolutionised decision-making across various fields. Yet human judgement remains paramount for high-stakes decision-making. This has fueled explorations of collaborative de…
From SERPs to Sound: How Search Engine Result Pages and AI-generated Podcasts Interact to Influence User Attitudes on Controversial Topics
Junjie Wang, Gaole He, Alisa Rieger +1
Compared to search engine result pages (SERPs), AI-generated podcasts represent a relatively new and relatively more passive modality of information consumption, delivering narrati…
"Label from Somewhere": Reflexive Annotating for Situated AI Alignment
Anne Arzberger, Celine Offerman, Ujwal Gadiraju +2
AI alignment relies on annotator judgments, yet annotation pipelines often treat annotators as interchangeable, obscuring how their social position shapes annotation. We introduce…