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PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:America/Los_Angeles
BEGIN:DAYLIGHT
DTSTART:20240310T030000
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BEGIN:STANDARD
DTSTART:20241103T010000
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BEGIN:VEVENT
DTSTAMP:20240912T221827Z
UID:6CF9088E-DBE7-4298-AF72-F04425C7A396
DTSTART;TZID=America/Los_Angeles:20240910T190000
DTEND;TZID=America/Los_Angeles:20240910T211900
DESCRIPTION:This event will be available live at SEMI\, as well as over Zoo
 m. Get to SEMI by 6:30pm to network – and enjoy great pizza and refreshm
 ents! All attendees MUST register using the Eventbrite form (see link).\n\
 nOrganizations that develop or operate applications using deep learning\, 
 large language models (LLMs)\, and generative AI are accountable for the s
 ecurity\, safety\, privacy\, fairness\, and transparency of their operatio
 n. AI applications require governance\, and organizations must manage both
  the associated risks as well as their compliance with a growing number of
  laws and regulations. It’s critical to understand that each aspect of r
 esponsible AI involves various tools and processes at each of the stages o
 f their development and operation.\n\nIn this presentation\, [CNSV member 
 Ron Herardian](https://californiaconsultants.org/members/ron-herardian/) w
 ill review the pillars of responsible AI. He will describe important techn
 ical requirements and tools\, including example open source projects and v
 endor services\, along with solutions from select software startups. The i
 ntent of this talk is to help attendees gain a better understanding of the
  technical implementation aspects of responsible AI.\n\nSpeaker(s): Ron He
 rardian\, \n\n567 Yosemite Dr\, Milpitas\, California\, United States\, 95
 035\, Virtual: https://events.vtools.ieee.org/m/425715
LOCATION:567 Yosemite Dr\, Milpitas\, California\, United States\, 95035\, 
 Virtual: https://events.vtools.ieee.org/m/425715
ORGANIZER:
SEQUENCE:10
SUMMARY:Understanding Responsible AI Technical Requirements
URL;VALUE=URI:https://events.vtools.ieee.org/m/425715
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;This event will be available live 
 at SEMI\, as well as over Zoom. Get to SEMI by 6:30pm to network &amp;ndash\; 
 and enjoy great pizza and refreshments! All attendees &lt;u&gt;MUST&lt;/u&gt; register
  using the Eventbrite form (see link).&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;Organizations that
  develop or operate applications using deep learning\, large language mode
 ls (LLMs)\, and generative AI are accountable for the security\, safety\, 
 privacy\, fairness\, and transparency of their operation. AI applications 
 require governance\, and organizations must manage both the associated ris
 ks as well as their compliance with a growing number of laws and regulatio
 ns. It&amp;rsquo\;s critical to understand that each aspect of responsible AI 
 involves various tools and processes at each of the stages of their develo
 pment and operation.&lt;/p&gt;\n&lt;p&gt;In this presentation\, &lt;a href=&quot;https://calif
 orniaconsultants.org/members/ron-herardian/&quot; target=&quot;_blank&quot; rel=&quot;noopener
 &quot;&gt;CNSV member Ron Herardian&lt;/a&gt; will review the pillars of responsible AI.
  He will describe important technical requirements and tools\, including e
 xample open source projects and vendor services\, along with solutions fro
 m select software startups. The intent of this talk is to help attendees g
 ain a better understanding of the technical implementation aspects of resp
 onsible AI.&lt;/p&gt;
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