Innovation, data and social responsibility

Murphy, Oonagh and Villaespesa, Elena. 2021. Innovation, data and social responsibility. In: Haitham Eid and Melissa Forstrom, eds. Museum Innovation: Building More Equitable, Relevant and Impactful Museums. Abingdon: Routledge. ISBN 9780367481407 [Book Section]

No full text available
[img] Text
OM Innovation, data and social responsibility - Nov 10.pdf - Accepted Version
Permissions: Administrator Access Only until 19 January 2023.
Available under License Creative Commons Attribution Non-commercial.

Download (127kB)

Abstract or Description

The volume of user data generated in museums continues to increase rapidly. Data is collected from the visitor’s physical experience but also from a range of digital touchpoints such as web, social media, ticketing and mobile apps. The application of AI to analyze and visualize this data brings an opportunity for museums to better understand their audiences and create personalized and engaging experiences. This chapter speaks to the growth of these technologies and examines the ethical, legal and practical implications for museum professionals and policy makers as they begin to adopt artificial intelligence, and more specifically Machine Learning and Natural Language Processing to better understand their audiences. Through a series of case studies drawn from the UK and US this chapter documents and examines these challenges within current and emerging museum practices.

Item Type:

Book Section

Keywords:

Museum, innovation, digital culture, AI, artificial intelligence, art, ethics, collections, algorithms, data

Related URLs:

Departments, Centres and Research Units:

Institute for Cultural and Creative Entrepreneurship (ICCE)

Dates:

DateEvent
13 November 2020Accepted
19 July 2021Published

Item ID:

29441

Date Deposited:

16 Nov 2020 10:05

Last Modified:

29 Jul 2021 14:47

URI:

https://research.gold.ac.uk/id/eprint/29441

View statistics for this item...

Edit Record Edit Record (login required)