56 min
Curator Computer Creator: Museums and AI MCN 2019 sessions recordings
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- Education
Thursday, November 7, 2019
Artificial Intelligence technologies including machine learning, predictive analytics and others, bring exciting possibilities of knowing more about visitors and collections. However, these technologies also raise important ethical questions for museums. With an increasing awareness and regulations about data usage in wider society, museums, must approach AI with both caution and fervour. As such exploring, critiquing and understanding the ethical implications of AI within a museum context is increasingly becoming a pressing need for museums.
At the beginning of 2019 the “Museum and AI network” was founded to discuss the opportunities and challenges that AI brings to museums. The network led by researchers from Goldsmiths, University of London and Pratt Institute is formed of senior managers in museums including The Met, National Gallery, AMNH, Science Museum, and Cooper Hewitt, Smithsonian Design Museum among others. Through a series of industry workshops, the network participants have taken part in in-depth discussions designed to open up debate around the key parameters, methods and paradigms of AI in a museum context. During this professional forum the findings of the work undertook by the network will be presented along with a conversation with some of museum professionals that took part of this research.
Session Type60-Minute Session (Professional Forum or Hands-on Demonstration)
TrackSystems
Chatham House RuleNo
Key Outcomes
The session will bring a discussion about the opportunities and challenges of AI in museums. Participants will learn from the case studies presented about the possibilities of the application of these technologies to their collection and user data. After this sessions, participants will be able to think critically about the ethical considerations that need to be taken into account with AI.
Speakers
Session Leader : Elena Villaespesa, Assistant Professor, Pratt Institute
Co-Presenter : Oonagh Murphy, Lecturer, Goldsmith, University of London
Co-Presenter : Jennie Choi, General Manager of Collection Information, The Metropolitan Museum of Art
Co-Presenter : Carolyn Royston, Chief Experience Officer, Cooper Hewitt, Smithsonian Design Museum
Co-Presenter : Casey Scott-Songin, Senior Manager: Data & Insight, National Gallery, London
Thursday, November 7, 2019
Artificial Intelligence technologies including machine learning, predictive analytics and others, bring exciting possibilities of knowing more about visitors and collections. However, these technologies also raise important ethical questions for museums. With an increasing awareness and regulations about data usage in wider society, museums, must approach AI with both caution and fervour. As such exploring, critiquing and understanding the ethical implications of AI within a museum context is increasingly becoming a pressing need for museums.
At the beginning of 2019 the “Museum and AI network” was founded to discuss the opportunities and challenges that AI brings to museums. The network led by researchers from Goldsmiths, University of London and Pratt Institute is formed of senior managers in museums including The Met, National Gallery, AMNH, Science Museum, and Cooper Hewitt, Smithsonian Design Museum among others. Through a series of industry workshops, the network participants have taken part in in-depth discussions designed to open up debate around the key parameters, methods and paradigms of AI in a museum context. During this professional forum the findings of the work undertook by the network will be presented along with a conversation with some of museum professionals that took part of this research.
Session Type60-Minute Session (Professional Forum or Hands-on Demonstration)
TrackSystems
Chatham House RuleNo
Key Outcomes
The session will bring a discussion about the opportunities and challenges of AI in museums. Participants will learn from the case studies presented about the possibilities of the application of these technologies to their collection and user data. After this sessions, participants will be able to think critically about the ethical considerations that need to be taken into account with AI.
Speakers
Session Leader : Elena Villaespesa, Assistant Professor, Pratt Institute
Co-Presenter : Oonagh Murphy, Lecturer, Goldsmith, University of London
Co-Presenter : Jennie Choi, General Manager of Collection Information, The Metropolitan Museum of Art
Co-Presenter : Carolyn Royston, Chief Experience Officer, Cooper Hewitt, Smithsonian Design Museum
Co-Presenter : Casey Scott-Songin, Senior Manager: Data & Insight, National Gallery, London
56 min