9 citations · 12 across the 8 of their papers we have counts for
8 papers
Operationalizing Ethics for AI Agents: How Developers Encode Values into Repository Context Files
Christoph Treude, Sebastian Baltes, Marc Cheong
As AI coding agents become embedded in software development workflows, developers are beginning to operationalize ethical principles by encoding behavioral rules into repository-le…
AI Slop and the Software Commons
Sebastian Baltes, Marc Cheong, Christoph Treude
In this article, we argue that AI slop in software is creating a tragedy of the commons. Individual productivity gains from AI-generated content externalize costs onto reviewer cap…
"An Endless Stream of AI Slop": How Developers Discuss the Burden of AI-Assisted Software Development
Sebastian Baltes, Marc Cheong, Christoph Treude
"AI slop", that is, low-quality AI-generated content, is increasingly affecting software development, from generated code and pull requests to documentation and bug reports. Howeve…
Forecasting Developer Environments with GenAI: A Research Perspective
Raula Gaikovina Kula, Christoph Treude, Xing Hu +28
Generative Artificial Intelligence (GenAI) models are achieving remarkable performance in various tasks, including code generation, testing, code review, and program repair. The ab…
Creativity Reconsidered: Generative AI and the Problem of Intentional Agency
James S. Pearson, Matthew J. Dennis, Marc Cheong
Many theorists maintain that conscious intentional agency is a necessary condition of creativity. We argue that this requirement, which we call the Intentional Agency Condition (IA…
Building Bridges across Papua New Guinea's Digital Divide in Growing the ICT Industry
Marc Cheong, Sankwi Abuzo, Hideaki Hata +6
Papua New Guinea (PNG) is an emerging tech society with an opportunity to overcome geographic and social boundaries, in order to engage with the global market. However, the current…
Nigerian Software Engineer or American Data Scientist? GitHub Profile Recruitment Bias in Large Language Models
Takashi Nakano, Kazumasa Shimari, Raula Gaikovina Kula +3
Large Language Models (LLMs) have taken the world by storm, demonstrating their ability not only to automate tedious tasks, but also to show some degree of proficiency in completin…
Documenting Ethical Considerations in Open Source AI Models
Haoyu Gao, Mansooreh Zahedi, Christoph Treude +2
Background: The development of AI-enabled software heavily depends on AI model documentation, such as model cards, due to different domain expertise between software engineers and…