- 2017 UXPA Boston, Advanced Discussion Table Topic, Artificial Intelligence/Machine Learning
What Is The Difference Between Artificial Intelligence And Machine Learning?, Forbes.com article
- Artificial Intelligence is the broader concept of machines being able to carry out tasks in a way that we would consider “smart”.
- Machine Learning is a current application of AI based around the idea that we should really just be able to give machines access to data and let them learn for themselves.
- AI is explicitly programmed. ML learns.
“Artificial intelligence is anything that computers can’t yet do.”
Artificial Intelligences – devices designed to act intelligently
Machine Learning: Field of study that gives computers the ability to learn without being explicitly programmed. Arthur Samuel 
(Often referred to as a subset of AI, it’s really more accurate to think of it as the current state-of-the-art.)
Well-posed learning problem: a computer program is said to “learn” from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E. Tom Mitchell 
Computer understanding of images/videos.
@LukeW, Source: Google I/O 2017
- Why are these fields expanding now?
- Big Data. Advances in computing led to gathering vast amounts of data. AI and ML leverage access to that data to either automate or analyze.
- Examples of Chatbots
Exquisite Texts - created by Jane Kim, inspired exquisite corpse drawing games created by the surrealists
The Simple Postcard - text a photo to the phone number provided, 251.265.2848, and they'll walk you through the steps to send it to a recipient