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SUMMARY:Ethics\, Integrity and Good Practice in ML - Ross Clarke (Universi
 ty of Cambridge)
DTSTART:20211103T110000Z
DTEND:20211103T123000Z
UID:TALK165118@talks.cam.ac.uk
CONTACT:Elre Oldewage
DESCRIPTION:Thanks to an explosion of popularity and technological success
 \, machine learning and artificial intelligence in their various guises no
 w touch nearly every aspect of our lives. Every day\, hundreds of new pape
 rs appear promising to revolutionise yet another facet of the field. But h
 ow often do we consider the broader impact of our work? Is it appropriate 
 for certain lines of recent research to exist in their present forms? And 
 if general intelligence isn’t yet just around the corner\, do we even ne
 ed to be asking these questions? In this talk\, we give an overview of cur
 rent work investigating the ethics of machine learning and its application
 s. We explore examples of harms resulting from real-world ML deployments\,
  discuss what it means to be an ‘ethical’ researcher and survey views 
 from the literature of how the field might become more ethics-focussed. Di
 scussion and participation strongly encouraged!\n\nNo pre-reading is requi
 red. We draw from several references\, which will be made available with o
 ur slides for later review.
LOCATION: Cambridge University Engineering Department \,LR3A
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