generative ai

Shaping the Future of Generative AI for Black Communities: A Frame Analysis of Public Discourse and Empirical Scholarly Research

As generative AI (genAI) systems become embedded in education, employment, healthcare, and creative industries, the impact and engagement among marginalized groups have become both a widespread discourse and a focus in scholarly research. As a starting point, we examine public discourse and empirical research to explor...

Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows

Generative AI systems are increasingly deployed in high-stakes professional contexts, where their outputs shape what users believe, how they reason, and what they treat as settled. This raises a central question for responsible AI: under what conditions is reliance on generative AI outputs epistemically warranted rathe...

Who Will Become the Next Senior? How Generative AI Erodes the Development Pathway in Software Engineering

Generative AI (GenAI) is reshaping software engineering, raising concerns about how the development pathway through which juniors become seniors is being eroded. While macro statistics show a decline in junior hiring and controlled studies demonstrate the effects of AI on individual task performance, the mechanisms thr...

A Method for Learning Value Systems in Generative AI

Value‑aware AI systems require explicit computational representations of human values (groundings) and their aggregation into value systems in order to align their decisions with ours. As such representations are difficult to elicit, value learning seeks to infer them by observing human behaviour. This work addresses t...

Is This AI? Longitudinal Analysis of Strategies Used for AI Detection on Two Subreddits

As AI-generated content (e.g., “slop”) becomes more prevalent online, people are developing strategies to attempt to identify it (or, conversely, to gain confidence that something is not AI-generated). What strategies are people using, and how are they changing over time as generative AI models themselves change? In th...

AI Adoption Across a Multinational Workforce: Sociotechnical Conditions for GenAI Acceptance in Human Resources

Generative AI (GenAI) deployment in the workplace is accelerating rapidly. Nevertheless, questions of who adopts, who benefits, and who is left behind and why are still understudied. In this paper, we investigate these dynamics in the context of a multinational tech company transitioning from a legacy Human Resources (...

Beyond Detection: Governing GenAI in Academic Peer Review as a Sociotechnical Challenge

Generative AI (GenAI) tools are increasingly entering academic peer-review workflows, raising questions about fairness, accountability, and the legitimacy of evaluative judgment. While these systems promise efficiency gains amid growing reviewer overload, their use introduces new sociotechnical risks. This paper presen...

Missing Melodies: AI Music Generation and Its “Nearly” Complete Omission of the Global South

Recent advances in generative AI have sparked renewed interest and expanded possibilities for music generation. However, the performance and versatility of these systems across musical genres are heavily influenced by the availability of training data. We conducted an extensive analysis of over one million hours of aud...

A patent-driven SCOR-IFCM framework to prioritize generative AI adoption for supply chain resilience

Beware LLMs bearing gifts: hallucinations, satisfactory results, and student use of generative AI in the production of Mediterranean archaeology websites

Abstract Recently, an epistemic shift has occurred in classics pedagogy. First, the COVID pandemic forced students online. Then, large language model (LLM) chatbots appeared. These disruptions created a conundrum: how could research methods, reading and writing, and cross-cultural exploration be taught when students we...

The Threat of AI Automation on Employment Termination: A Systematic Literature Review

The rapid diffusion of artificial intelligence (AI) across industries has intensified concerns regarding labor substitution, yet scholarly literature on AI-driven employment termination remains fragmented. This study systematically identifies displacement mechanisms, maps vulnerable sectors and workforce categories, an...

Generative-AI use for schoolwork and adolescents' unassisted competencies: a split-sample, within-student analysis of 83 education systems in PISA 2025

Preregistration of a secondary analysis of PISA 2025. We test whether more frequent use of AI chatbots for schoolwork is associated with lower unassisted science performance within schools (H1) and with a reading-specific deficit within students relative to science (H2a) and mathematics (H2b), using a split-sample desi...