Artificial intelligence
-
What the hyperproduction of AI slop is doing to science
A new study shows AI writing is turning traditional measures of research quality upside down.
-
What is AI poisoning? A computer scientist explains
Despite the hype surrounding AI, the technology is far more fragile than it might appear.
-
What are small language models and how do they differ from large ones?
Small language models are like specialised tools in a toolbox, compared to something like ChatGPT that brings the whole workshop.
-
When AI gets science wrong
When summarising scientific research, AI tools drew inaccurate or overly broad conclusions in up to 73% of cases.
-
The changing knowledge role of wikis
A bibliometric analysis finds that that wikis are undergoing an important transformation.
-
Why students struggle to use AI responsibly
Educators must do more than provide instructions – they need to engage students in responsible AI use.
-
AI is changing the Dunning-Kruger Effect, with higher AI literacy correlating with overestimation of competence
Research findings reinforce the need for strategies that foster cognitive resilience and critical engagement with AI.
-
AI resources update: 1. PwC 2025 Responsible AI survey | 2. ISO/IEC 42001 guide for business | 3. Architectures of Global AI Governance
Three further resources that can assist the implementation of ethical and responsible AI in KM.
-
The ‘doorman fallacy’: why careless adoption of AI backfires so easily
When you ignore the intangible benefits of a role, it’s easy to argue it can be automated.
-
The march of “anticipatory governance”
Large-scale “city brains” AI systems allow governments to predict possible futures and act sooner. But what about the risks?
