Artifical Intelligence in Therapy
Artifical intelligence in therapy is an overarching term used to describe the use of machine-learning algorithms or software to mimic human understanding to assist or replace humans in multiple aspects of therapy.
Artifical intellgience is intelligence demonstrated by machines, based on input data and algorithms alone. Its primary goal is to perceive its environment and take action that maximizes its goals.[1] As such, different from human intelligence, artifical intelligence can sometimes work as a black box, with little reasoning behind its conclusion but accurate nonetheless.
The primary aim of artifical intelligence in therapy is to (1) analyze the relationships between symptoms exhibited by patients and possible diagnosis and (2) act as a substitute or addition to human therapists.
Contents
history
some text here
development
examples
applications
chatbots
self-guided treatments
therapeutic robots
ethical concerns
conflation with real human
crisis management of artificial intelligence
data collection
limitations
see also
references
- ↑ Poole, David; Mackworth, Alan; Goebel, Randy (1998). Computational Intelligence: A Logical Approach. New York: Oxford University Press. ISBN 978-0-19-510270-3. Archived from the original on 26 July 2020.
- ↑ things that go into citations
