=Paper=
{{Paper
|id=Vol-2660/ialatecml_invitedtalk2
|storemode=property
|title=The Rapid Growth of Human-in-the-Loop Machine Learning
|pdfUrl=https://ceur-ws.org/Vol-2660/ialatecml_invitedtalk2.pdf
|volume=Vol-2660
|authors=Robert Munro
|dblpUrl=https://dblp.org/rec/conf/pkdd/Munro20
}}
==The Rapid Growth of Human-in-the-Loop Machine Learning==
The rapid growth of Human-in-the-Loop
Machine Learning
Robert Munro
Machine Learning Consulting, USA
robert.munro@gmail.com
Abstract. In the last few years Human-in-the-Loop Machine Learning
has quickly become the dominant paradigm in many industries adopting
AI for the first time. More than 90% of machine learning applications to-
day are powered by supervised machine learning, including autonomous
vehicles, in-home devices, and every item you purchase on-line. There are
thousands of professional annotators and subject matter experts fine-
tuning each underlying model by annotating new data. This talk will
highlight different use cases in Human-in-the-Loop Machine Learning in
industries including finance, healthcare, entertainment, retail, and disas-
ter response.
© 2020 for this paper by its authors. Use permitted under CC BY 4.0.