listening for the right “it”
before we build it right

2017 UXPA Boston, Advanced Discussion Table Topic, Artificial Intelligence/Machine Learning
What Is The Difference Between Artificial Intelligence And Machine Learning?, 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 [1959]
(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 [1998]
Computer understanding of images/videos. line graph showing error rate decline for image recognition using algorithms @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