Anna Schjøtt

@annaschjoett.bsky.social

Technological Anthropology PhD working at University of Amsterdam on knowledge production in AI development and use in the media sector with a focus on politics and ethics.

✨The first two papers in our Topical Collection on the 'Politics of Machine Learning Evaluation' are out in Digital Society! The collection is edited together with @dluitse.bsky.social and Tobias Blanke, with the great support of Digital Society and Federica Russo. link.springer.com/collections/...

Politics of Machine Learning Evaluation

Is the data good enough for training purposes? Does the model perform accurately enough? Is the error rate low enough? Such questions of ‘good enough’ are at ...

link.springer.com

I have a short reflection on benchmarking in machine learning, titled "State-of-the-Art." Beyond questions of construct validity and rankings, how do benchmarks and model evaluation produce orientations towards progress or the future? Open access: doi.org/10.1007/s442...

State-of-the-Art: The Temporal Order of Benchmarking Culture - Digital Society

This commentary situates the epistemic values of machine learning’s culture of benchmarking and evaluation within larger temporal structures. Beyond questions of validity, whether model comparisons ar...

doi.org