Month: May 2024

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Museums Association article on 'Getting to grips with artificial intelligence'

Screenshot from the Museums Association website. Text says: 'AI is set to disrupt all aspects of museum work. But what is it, what does it do and how can we reap the benefits?'

I'm excited to see the Museums Association Museums Journal article on 'Getting to grips with artificial intelligence' go live. It feels like months since I talked to the author, Julie Nightingale.

Here's some of what I had to say: 'The British Library’s Ridge suggests people play around with AI to understand what might be coming.

“AI literacy is an important part of good governance,” she says. “People need a solid understanding of where biases are likely to appear, how to review and contest decisions made by algorithms and where sharing data might have privacy or legal implications, so that they can make good decisions about the products they buy or implement. It also helps people plan so that AI tools enhance jobs, rather than attempting to replace them.”'

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New data paper and datasets from crowdsourcing on Living with Machines

After lots of hard work by me, Nilo Pedrazzini, Miguel V., Arianna Ciula and Barbara McGillivray, we have a data paper in the Journal of Open Humanities Data: Language of Mechanisation Crowdsourcing Datasets from the Living with Machines Project.

And huge thanks to the thousands of Zooniverse volunteers who annotated 19th century newspaper articles to create the datasets we've published alongside the data paper!

Abstract: We present the ‘Language of Mechanisation’ datasets with examples of re-use in visualisations and analysis. These reusable CSV files, published on the British Library’s Research Repository, contain automatically-transcribed text from 19th century British newspaper articles. Volunteers on the Zooniverse crowdsourcing platform took part in tasks that asked ‘How did the word x change over time and place?’ They annotated articles with pre-selected meanings (senses) for the words coach, car, trolley and bike.

The datasets can support scholarship on a range of historical and linguistic research areas, including research on crowdsourcing and online volunteering behaviours, data processing and data visualisations methodologies.

The two datasets described are at: