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SUMMARY:Towards a Responsible NLP: Walking the walk - Mona Diab\, Meta AI
DTSTART:20230309T160000Z
DTEND:20230309T170000Z
UID:TALK198067@talks.cam.ac.uk
CONTACT:Panagiotis Fytas
DESCRIPTION:In a world of racing to get the best systems on leaderboards\,
  winning best shared tasks\, building the largest LM\, are we losing our s
 oul as a scientific enterprise? Do we need to re-orient and re-pivot NLP? 
 If so\, what is needed to make this happen? Can we chart together a progra
 m where we ensure that science is the pivotal ingredient in CL/NLP? Could 
 Responsible NLP be an avenue that could lead us back towards that goal? In
  this talk\, in the spirit of EMpirical NLP\, I will explore some “pract
 ical” ideas around framing a Responsible NLP vision hoping to achieve a 
 higher scientific standard for our field\, addressing issues from the “h
 ow” we conduct our research and venturing into the “what” we work on
  and produce using tenets from responsible mindset perspective. I will pos
 e more questions than answers. This is a call to action\, an invitation to
  start a real global community conversation\, hopefully engaging all stake
 holders: academia\, industry\, government and civic society.
LOCATION:https://cam-ac-uk.zoom.us/j/97599459216?pwd=QTRsOWZCOXRTREVnbTJBd
 XVpOXFvdz09
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