Museums and AI: Imagining the AI We Want for Museums

This is a CDCS Digital Cultural Heritage research cluster event.

Museums are, by their very nature, data centric institutions. They are collectors and creators of a diverse range of data, be that the bone density of a dinosaur, the market value of an artwork, the most viewed collection item on their website, or how long visitors spend in a particular gallery. AI technologies bring new opportunities and challenges to the collection and analysis of this data, and as such, museums need to create a new model for data management which is socially focused and ethically robust. This is indeed a challenge, and a significant one at that, but museums as an institution offer a unique platform for critical enquiry, and the development of data literacy skills within wider society.

This talk will examine these challenges and possible opportunities through a series of case studies that have been developed through the Museums and AI Network.

Dr Oonagh Murphy is Lecturer in Arts Management at Goldsmiths, University of London / the Institute for Creative and Cultural Entrepreneurship . Oonagh is also the co-founder of the Museums and AI Network.

Seminar event recording

 

First broadcast on 24 June 2020.

To watch in full screen mode via Media Hopper, click here.

You might be interested in

Graphic for a workshop titled ‘Getting Started with Descriptive Statistics.’ The background is a black-and-white photograph of people reading and working in a library. A large magenta ampersand featuring an illustration of Ada Lovelace is placed on the left. The logo of the Centre for Data, Culture & Society (DCS) appears in the top right corner.

Getting Started with Descriptive Statistics

black and white photograph of a person drinking tea out of a flaks on top of a hill.

CDCS December Fika

Graphic for a workshop titled ‘Text Classification in Practice: From Topic Models to Transformers.’ The background shows handwritten historical letters. A large green ampersand featuring an illustration of Ada Lovelace is placed on the left. The logo of the Centre for Data, Culture & Society (DCS) appears in the top right corner.

Text Classification in Practice: From Topic Models to Transformers

Graphic for a workshop titled ‘Using Prompting Efficiently for Research.’ The background shows an aged, torn book page with visible text. A large green ampersand featuring an illustration of Ada Lovelace is placed on the left. The logo of the Centre for Data, Culture & Society (DCS) appears in the top right corner.

Using Prompting Efficiently for Research

an old map of Acotland with the text "Jennifer Smith & Brian Aitken, Project deep Dive"

Who Speaks Scots Where: What Crowdsourcing Reveals

Graphic for a workshop titled ‘Data Viscualisation’ The background is a collage of historical printed text with an overlaid image of a wolf. A large green ampersand featuring an illustration of Ada Lovelace is placed on the left. The logo of the Centre for Data, Culture & Society (DCS) appears in the top right corner

Digital Method of the Month: Data Visualisation

Graphic for a workshop titled ‘Introduction to Geographical Data with QGIS.’ The background shows an old map of the world with detailed illustrations. A large teal ampersand featuring an illustration of Ada Lovelace is placed on the left. The logo of the Centre for Data, Culture & Society (DCS) appears in the top right corner.

Intro to Geographical Data with QGIS

Graphic for a workshop titled ‘Using API for Research.’ The background is a black-and-white photograph of people working with printing equipment and patterned sheets. A large magenta ampersand featuring an illustration of Ada Lovelace is placed on the left. The logo of the Centre for Data, Culture & Society (DCS) appears in the top right corner.

Using API for Research