Hype or hope? AI, museum visitors, and insights

Lightning Talk

Ariana French, American Museum of Natural History, USA

Artificial intelligence (AI), machine learning, and deep learning are the buzzwords of the moment in media and technology circles – and the hype keeps going. AI is increasingly sold as a key feature in many third-party constituent and marketing platforms used by the museum community, yet what lies “under the hood” with AI is rarely examined or questioned. 

This lightning talk will take a high-level look at what AI and machine learning can (and can’t) do, when it comes to generating insights about visitors. Topics will include:

– Common AI use cases and the marketing of AI
– Garbage in, garbage out: Knowing your data set and its relationship to outcomes
– Questions to ask when AI is offered as a platform feature

Bibliography:
"Examining the Impact of Artificial Intelligence in Museums." MW17: MW 2017. Published February 1, 2017.
https://mw17.mwconf.org/paper/exploring-artificial-intelligence-in-museums/

French, Ariana M. (2018, May 7) Artificial intelligence, museums, and garbage. Retrieved from https://medium.com/@CuriousThirst/on-artificial-intelligence-museums-and-garbage-21fa015afc2b

French, Ariana M. (2018, April 30) Artificial intelligence, museums, and hot dogs. Retrieved from https://medium.com/@CuriousThirst/on-artificial-intelligence-museums-and-hot-dogs-b755798de7b1

Ng, Andrew. Machine learning online course offered by Stanford University. Retrieved from https://www.coursera.org/learn/machine-learning