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This paper outlines ongoing dissertation research located in the intersection of science fiction, human-computer interaction and computer science. Through an interdisciplinary perspective, drawing from fields such as human-computer…

Human-Computer Interaction · Computer Science 2018-07-26 Philipp Jordan

Since language models produce fake text quickly and easily, there is an oversupply of such content in the public domain. The degree of sophistication and writing style has reached a point where differentiating between human authored and…

Computation and Language · Computer Science 2024-02-06 Dmytro Valiaiev

Insightful interdisciplinary collaboration is essential to the principled governance of technology. When such efforts address the interaction between computation and society, they often focus on modeling, the process by which computer…

Computers and Society · Computer Science 2025-05-29 Samuel Judson , Joan Feigenbaum

Established frameworks to understand problems with reproducibility in science begin with the relationship between our understanding of the prior probability of a claim and the statistical certainty that should be demanded of it, and explore…

Other Statistics · Statistics 2022-05-30 Maria Chikina , Wesley Pegden

Our book "The Reality of Multi-Lingual Machine Translation" discusses the benefits and perils of using more than two languages in machine translation systems. While focused on the particular task of sequence-to-sequence processing and…

Computation and Language · Computer Science 2022-02-28 Tom Kocmi , Dominik Macháček , Ondřej Bojar

This special issue interrogates the meaning and impacts of "tech ethics": the embedding of ethics into digital technology research, development, use, and governance. In response to concerns about the social harms associated with digital…

Computers and Society · Computer Science 2022-05-24 Ben Green

In contemporary educational systems, academic performance indicators play a central role in institutional evaluation and in the interpretation of student trajectories. However, under conditions of rapid technological change, the inferential…

Computers and Society · Computer Science 2026-01-09 H. R. Paz

Most works on gender bias focus on intrinsic bias -- removing traces of information about a protected group from the model's internal representation. However, these works are often disconnected from the impact of such debiasing on…

Computation and Language · Computer Science 2024-06-04 Bar Iluz , Yanai Elazar , Asaf Yehudai , Gabriel Stanovsky

Science is a fundamental human activity and we trust its results because it has several error-correcting mechanisms. Its is subject to experimental tests that are replicated by independent parts. Given the huge amount of information…

Physics and Society · Physics 2011-03-25 Andre C. R. Martins

Uncertainty of scientific findings are typically reported through statistical metrics such as $p$-values, confidence intervals, etc. The magnitude of this objective uncertainty is reflected in the language used by the authors to report…

Digital Libraries · Computer Science 2025-03-28 Jamshid Sourati , Grace Shao

LLMs are increasingly being deployed for multilingual applications and have demonstrated impressive translation capabilities between several low and high-resource languages. An aspect of translation that often gets overlooked is that of…

Computation and Language · Computer Science 2024-12-03 Pushpdeep Singh , Mayur Patidar , Lovekesh Vig

Despite a surge in robotics research dedicated to inferring and understanding human intent, a universally accepted definition remains elusive since existing works often equate human intention with specific task-related goals. This article…

Robotics · Computer Science 2026-02-19 J. E. Domínguez-Vidal , Alberto Sanfeliu

In this article, we study translations between variants of defaults logics such that the extensions of the theories that are the input and the output of the translation are in a bijective correspondence. We assume that a translation can…

Artificial Intelligence · Computer Science 2021-04-12 Paolo Liberatore

Research misconduct and frauds pollute the scientific literature. Honest errors and malevolent data fabrication, image manipulation, journal hijacking, and plagiarism passed peer review unnoticed. Problematic papers deceive readers, authors…

Digital Libraries · Computer Science 2022-10-31 Guillaume Cabanac

Many applications of computational social science aim to infer causal conclusions from non-experimental data. Such observational data often contains confounders, variables that influence both potential causes and potential effects.…

Computation and Language · Computer Science 2020-05-05 Katherine A. Keith , David Jensen , Brendan O'Connor

Gender bias in machine translation (MT) is recognized as an issue that can harm people and society. And yet, advancements in the field rarely involve people, the final MT users, or inform how they might be impacted by biased technologies.…

Computation and Language · Computer Science 2024-10-08 Beatrice Savoldi , Sara Papi , Matteo Negri , Ana Guerberof , Luisa Bentivogli

How does the extent to which a model is open or closed impact the scientific inferences that can be drawn from research that involves it? In this paper, we analyze how restrictions on information about model construction and deployment…

For a variety of inter-related cultural, organizational, and political reasons, progress in climate science and the actual solution of scientific problems in this field have moved at a much slower rate than would normally be possible. Not…

Physics and Society · Physics 2012-10-09 Richard S. Lindzen

It is the role of the scientific community to provide for the knowledge of scientific facts and technical capabilities as a background for political decision-making. The reasons are given why governments are sometimes not ready to accept…

Physics and Society · Physics 2008-04-22 Klaus Gottstein , Nele Matz

Automated decision systems are increasingly used for consequential decision making -- for a variety of reasons. These systems often rely on sophisticated yet opaque models, which do not (or hardly) allow for understanding how or why a given…

Artificial Intelligence · Computer Science 2021-03-09 Jakob Schoeffer , Yvette Machowski , Niklas Kuehl
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