AI
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Competence Penalty is a Barrier to the Adoption of New Technology
Competence Penalty Is a Barrier to the Adoption of New Technology (Gai, Hou, Tu) reports a three-part study examining why generative AI coding tools remain under-adopted even in environments where traditional barriers such as access, training, and infrastructure have largely been removed. Study 1 draws on digital trace data from 28,698 software engineers following the…
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On changing tools, and tools changing us
TL;DR: Changing research tools changes research practice. This reflection takes a CSCW-informed view of tool migration, examining how new platforms reshape workflows, redistribute expertise, and influence what teams come to treat as valid insight. I draw on a recent experience of changing tools in a large complex organisation. (CSCW is Computer-Supported Cooperative Work which studies…
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Bias in Human-AI Collaboration
TL;DR: Human–AI collaboration is now common in both low- and high-stakes settings, but human cognitive biases can distort how people evaluate AI outputs. Biases like automation bias (over-trust), algorithmic loafing (reduced effort), and automation-induced complacency (reduced vigilance) can all weaken oversight and lead to serious errors. Because these flawed decisions can also flow back into…
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The Cloud Next Door: Investigating the Environmental and Socioeconomic Strain of Datacenters on Local Communities
The Cloud Next Door (Ngata et al.) is a short and relatively accessible paper (especially by academic standards) authored by an MIT undergraduate, examining the environmental and socioeconomic impacts of data centres on local communities. Most discourse on data centres focuses on global or systemic effects: energy consumption, water use, and emissions. Far less attention is…
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Interpersonal Trust Development in GenAI-Augmented Organisations
Interpersonal Trust Development in GenAI-augmented Organisations (Norkin) examines how interpersonal trust forms and shifts when GenAI becomes embedded in knowledge-intensive team workflows. GenAI is reshaping work at a pace that often exceeds organisations’ ability to recalibrate processes, norms, and expectations. While productivity gains are evident, the uncertainty introduced by autonomous content generation raises questions about reliability,…
Brian Grellmann 