V O R T R A G
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Oesterreichisches Forschungsinstitut fuer Artificial Intelligence(OFAI) der OSGK
Freyung 6/6/7, A-1010 Wien
Tel: +43-1-5336112-17, Fax: +43-1-5336112-77, Email: sec@ofai.at
Prof. Bob Sturm
KTH Royal Institute of Technology, Stockholm, Sweden
ON HORSES IN MACHINE LEARNING
A “horse” is a system that is not actually addressing the problem it
appears to be solving. The inspiration for the metaphor is the real-life
example of Clever Hans, a horse that appeared to have great skill in
mathematics but had actually learned to respond to a prosaic cue
confounded with the correct answer. Similarly, a model created through
the statistical treatment of a large dataset and wielded by an engineer
can also appear successful for solving a complex problem, but actually
not be. In this talk, I take a critical look at past applications of
machine learning – exemplifying contemporary practices – and identify
where issues arise that affect the validity of conclusions. I argue that
the onus is on the engineer to not stop at describing how well a model
performs on a given dataset (no matter how big it may be), but to go
further and explain what they with their models are actually doing.
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Time: Thursday, 27th of February 2020, 6:30 p.m. sharp
Location: Oesterreichisches Forschungsinstitut
fuer Artificial Intelligence, OFAI
Freyung 6, Stiege 6, 1010 Wien
OESTERREICHISCHES FORSCHUNGSINSTITUT
FUER ARTIFICIAL INTELLIGENCE
Univ.-Prof. Ing. Dr. Robert Trappl
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