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DTSTART;TZID=America/Los_Angeles:20240312T173000
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DESCRIPTION:[]\n\nThe ultimate goal of AI research is to provide the tools\
 , techniques\, and methods for building usable systems that make decisions
  or assist in making decisions that model and "understand" the world\, gat
 her relevant knowledge\, and act responsibly. In many cases\, the decision
 s and actions are associated with high risks\, and certain assurance or ro
 bustness is required from the system that uses AI components. What are the
  ultimate questions that we need to answer in order to build the required 
 runtime robustness for our systems?\n\nWe'll explore the central role that
  three types of unknowns play in our quest for robustness. These are the u
 nobserved entities that need our research attention to make any assurance 
 guarantees. First\, we'll analyze the unknown observations that we need to
  deal with at runtime. Next\, we'll explore the unknown features – the a
 dditional dimensions along which we need to reason and that are needed to 
 rely upon at decision time. Finally\, we'll discuss the unknown constraint
 s – the unknown functions that we need to optimize against.\n\nCo-sponso
 red by: Seattle University Student Chapter\n\nSpeaker(s): Dragos Marginean
 tu\, PhD\n\nAgenda: \n5.30 PM to 6.00 PM Networking and Light Dinner "Pie 
 Day Specials"\n6.00 PM to 6.05 Welcome by Seattle Section Chair\n6.05 PM t
 o 6.50 PM Techtalk\n\nRoom: Room #: Sinegal 100\, Bldg: Jim and Janet Sine
 gal Center for   Science and Innovation\, Seattle University\, 901 12th 
 Ave\, Seattle\, WA 98122\, Seattle\, Washington\, United States\, 98122\, 
 Virtual: https://events.vtools.ieee.org/m/410555
LOCATION:Room: Room #: Sinegal 100\, Bldg: Jim and Janet Sinegal Center for
    Science and Innovation\, Seattle University\, 901 12th Ave\, Seattle\
 , WA 98122\, Seattle\, Washington\, United States\, 98122\, Virtual: https
 ://events.vtools.ieee.org/m/410555
ORGANIZER:dfischer@ieee.org
SEQUENCE:11
SUMMARY:IEEE Tech Talk: Robust AI Systems: a story of unknowns
URL;VALUE=URI:https://events.vtools.ieee.org/m/410555
X-ALT-DESC:Description: <br /><p class="MsoNormal">&nbsp\;</p>\n<p class="M
 soNormal"><img src="https://events.vtools.ieee.org/vtools_ui/media/display
 /da8ad078-014e-4e18-bfd5-3e20b77cc0b1" alt="" width="858" height="484"></p
 >\n<p class="MsoNormal">The ultimate goal of AI research is to provide the
  tools\, techniques\, and methods for building usable systems that make de
 cisions or assist in making decisions that model and "understand" the worl
 d\, gather relevant knowledge\, and act responsibly. In many cases\, the d
 ecisions and actions are associated with high risks\, and certain assuranc
 e or robustness is required from the system that uses AI components. What 
 are the ultimate questions that we need to answer in order to build the re
 quired runtime robustness for our systems?</p>\n<p class="MsoNormal">We'll
  explore the central role that three types of unknowns play in our quest f
 or robustness. These are the unobserved entities that need our research at
 tention to make any assurance guarantees. First\, we'll analyze the unknow
 n observations that we need to deal with at runtime. Next\, we'll explore 
 the unknown features &ndash\; the additional dimensions along which we nee
 d to reason and that are needed to rely upon at decision time. Finally\, w
 e'll discuss the unknown constraints &ndash\; the unknown functions that w
 e need to optimize against.</p>\n<p class="MsoNormal">&nbsp\;</p><br /><br
  />Agenda: <br /><p style="font-weight: 400\;">5.30 PM to 6.00 PM Networki
 ng and Light Dinner <strong>"Pie Day Specials"</strong><br>6.00 PM to 6.05
  Welcome by Seattle Section Chair<br>6.05 PM to 6.50 PM Techtalk</p>\n<p s
 tyle="font-weight: 400\;">&nbsp\;</p>
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