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SEQUENCE:1
UID:UW-Physics-Event-6294
DTSTART:20210305T213000Z
DTEND:20210305T233000Z
DTSTAMP:20260415T010806Z
LAST-MODIFIED:20210226T033157Z
LOCATION:Zoom: https://uwmadison.zoom.us/j/97126863667?pwd=Qk5vT0ttWm4
 3Q01HSk5OdUZOQ1Z4UT09
SUMMARY:From galaxies to faces: recognizing the implications of Artifi
 cial Intelligence in astronomy and society\, Physics Department Colloq
 uium\, Dr. Brian Nord\, Fermilab
DESCRIPTION:Artificial Intelligence (AI) refers to a set of techniques
  that rely primarily on the data itself for the construction of a quan
 titative model. AI has arguably been in development for three quarters
  of a century\, but there has been a recent resurgence in research and
  application. This current (third) wave of AI progress is marked by ex
 traordinary results --- for example\, in image analysis\, language tra
 nslation\, and machine automation. Despite the aforementioned modest d
 efinition of AI\, its potential to disrupt technologies\, economies\, 
 and society is often presented as (nearly) unmatched in modern times\,
  due in part to the versatility of the algorithms in modeling a wide v
 ariety of data. Similarly\, there is great promise for applications ac
 ross the sciences --- for example\, simulations\, image classification
 \, and automated experimentation --- which are currently being investi
 gated by researchers across the globe. Along with the significant prom
 ise of AI\, comes great peril: in societal contexts\, the consequences
  include enhanced surveillance\, facial recognition\, and automated we
 aponry. In science contexts\, the issues are also significant and in m
 any cases related --- for example\, bias\, lack of uncertainty quantif
 ication\, and misuse. To take full advantage of the opportunities for 
 AI to accelerate science and improve society\, it's essential that we 
 carefully guide its development.
\n
\nDuring this presentation\, we wi
 ll explore modern AI techniques\, like neural networks\, and review ho
 w they are being developed and deployed in astronomy. Then\, we’ll d
 iscuss ideas for the future usage of AI in science\, including technic
 al barriers for long-term application. Finally\, we’ll discuss the r
 oles of scientists and academic communities in the development of AI a
 lgorithms.
URL:https://www.physics.wisc.edu/events/?id=6294
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