Friday, April 05, 2019: 11:00am - 12:30pm - Grand Ballroom
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
"Examining the Impact of Artificial Intelligence in Museums." MW17: MW 2017. Published February 1, 2017.
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