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DTSTART;TZID=America/New_York:20240919T090000
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DESCRIPTION:[IEEE P7100](https://development.standards.ieee.org/myproject-w
 eb/app#viewpar/15721/11631) Environment Impacts of Artificial Intelligence
  (EIAI) Working Group Kickoff Meeting\n\nScope: This standard defines a me
 asurement framework for reporting on environmental indicators for training
  models and deriving inference on Artificial Intelligence (AI) systems. Th
 is includes harmonized measurements of compute intensity (e.g. energy use)
  with associated environmental impacts (e.g. carbon dioxide (CO2) emission
 s\, or water consumption). This standard describes methodologies to separa
 te the measurement of AI-specific compute (i.e. data centers used for AI t
 raining or inference) from general purpose compute (e.g. data centers used
  for other purposes like cloud services).\n\n3 Park Ave\, New York City\, 
 New York\, United States\, Virtual: https://events.vtools.ieee.org/m/43052
 2
LOCATION:3 Park Ave\, New York City\, New York\, United States\, Virtual: h
 ttps://events.vtools.ieee.org/m/430522
ORGANIZER:goldberg.j@ieee.org
SEQUENCE:3
SUMMARY:IEEE P7100 Environment Impacts of Artificial Intelligence (EIAI) Wo
 rking Group Kickoff Meeting
URL;VALUE=URI:https://events.vtools.ieee.org/m/430522
X-ALT-DESC:Description: <br /><p><a href="https://development.standards.iee
 e.org/myproject-web/app#viewpar/15721/11631">IEEE P7100</a> Environment Im
 pacts of Artificial Intelligence (EIAI) Working Group Kickoff Meeting</p>\
 n<p><strong>Scope</strong>: This standard defines a measurement framework 
 for reporting on environmental indicators for training models and deriving
  inference on Artificial Intelligence (AI) systems. This includes harmoniz
 ed measurements of compute intensity (e.g. energy use) with associated env
 ironmental impacts (e.g. carbon dioxide (CO2) emissions\, or water consump
 tion). This standard describes methodologies to separate the measurement o
 f AI-specific compute (i.e. data centers used for AI training or inference
 ) from general purpose compute (e.g. data centers used for other purposes 
 like cloud services).</p>
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