Publications (17)
COVID Down Under: where did Australia's pandemic apps go wrong?
Shaanan Cohney, Marc Cheong
Governments and businesses worldwide deployed a variety of technological measures to help prevent and track the spread of COVID-19. In Australia, these applications contained usabi…
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…
The wisdom_of_crowds: an efficient, philosophically-validated, social epistemological network profiling toolkit
Colin Klein, Marc Cheong, Marinus Ferreira +2
The epistemic position of an agent often depends on their position in a larger network of other agents who provide them with information. In general, agents are better off if they…
"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…
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…
Professional Presentation and Projected Power: A Case Study of Implicit Gender Information in English CVs
Jinrui Yang, Sheilla Njoto, Marc Cheong +2
Gender discrimination in hiring is a pertinent and persistent bias in society, and a common motivating example for exploring bias in NLP. However, the manifestation of gendered lan…