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CALSCALE:GREGORIAN
UID:34656230-6264-4232-a232-653538643566
BEGIN:VEVENT
UID:6d30af9ea1401685ef45867772b9de8cb047dcaf@swoogo.com
DTSTAMP:20260420T005140Z
DESCRIPTION:As organizations increase their enterprise-wide AI initiatives\
 , one reality has become unavoidable: trust — not technical capability — i
 s the deciding factor. To that end\, when determining how to responsibly m
 onitor\, build\, and implement AI solutions\, legal teams have an importan
 t role to play to determine how AI is governed\, deployed\, and monitored.
 \n\nThis panel of experts\, including in-house legal leaders and legal tec
 hnologists who have direct experience in designing\, deploying\, and gover
 ning enterprise-wide AI systems\, will examine AI governance and bias thro
 ugh the practical lens of legal risk\, compliance\, and organizational acc
 ountability.\n\nThe discussion will focus on why in-house legal teams have
  a unique role to plan to ensure transparency\, accountability\, auditabil
 ity\, and human oversight are core requirements with any AI adoption. Pane
 lists will also unpack how to define and apply AI governance and bias in r
 eal-world legal and business contexts\, explore how legal teams can help d
 istinguish acceptable risk from unacceptable harm\, and how governance fra
 meworks can be designed to evolve alongside rapidly changing AI technologi
 es.\n\nAttendees will leave with practical insights into how their legal d
 epartment can approve\, deploy\, and stand behind AI tools\, and how stron
 g governance frameworks enable AI to scale responsibly without eroding tru
 st.
DTSTART:20260310T153000Z
DTEND:20260310T163000Z
LAST-MODIFIED:20260420T005140Z
LOCATION:Room 412
SEQUENCE:0
STATUS:CONFIRMED
SUMMARY:Trust Is the Product: How Proven AI Governance and Legal Oversight 
 Is Driving Successful Adoption
TRANSP:OPAQUE
X-ALT-DESC;FMTTYPE=text/html:<p>As organizations increase their enterprise-
 wide AI initiatives\, one reality has become unavoidable: trust — not tech
 nical capability — is the deciding factor. To that end\, when determining 
 how to responsibly monitor\, build\, and implement AI solutions\, legal te
 ams have an important role to play to determine how AI is governed\, deplo
 yed\, and monitored.</p>\n\n<p>This panel of experts\, including in-house 
 legal leaders and legal technologists who have direct experience in design
 ing\, deploying\, and governing enterprise-wide AI systems\, will examine 
 AI governance and bias through the practical lens of legal risk\, complian
 ce\, and organizational accountability.</p>\n\n<p>The discussion will focu
 s on why in-house legal teams have a unique role to plan to ensure transpa
 rency\, accountability\, auditability\, and human oversight are core requi
 rements with any AI adoption. Panelists will also unpack how to define and
  apply AI governance and bias in real-world legal and business contexts\, 
 explore how legal teams can help distinguish acceptable risk from unaccept
 able harm\, and how governance frameworks can be designed to evolve alongs
 ide rapidly changing AI technologies.</p>\n\n<p>Attendees will leave with 
 practical insights into how their legal department can approve\, deploy\, 
 and stand behind AI tools\, and how strong governance frameworks enable AI
  to scale responsibly without eroding trust.</p>\n\n<p><img alt='' height=
 '50' src='https://assets.swoogo.com/uploads/medium/5984546-68f3a07e93233.p
 ng' width='50' /></p>
BEGIN:VALARM
UID:37636237-6661-4366-b266-656663336361
ACTION:DISPLAY
DESCRIPTION:As organizations increase their enterprise-wide AI initiatives\
 , one reality has become unavoidable: trust — not technical capability — i
 s the deciding factor. To that end\, when determining how to responsibly m
 onitor\, build\, and implement AI solutions\, legal teams have an importan
 t role to play to determine how AI is governed\, deployed\, and monitored.
 \n\nThis panel of experts\, including in-house legal leaders and legal tec
 hnologists who have direct experience in designing\, deploying\, and gover
 ning enterprise-wide AI systems\, will examine AI governance and bias thro
 ugh the practical lens of legal risk\, compliance\, and organizational acc
 ountability.\n\nThe discussion will focus on why in-house legal teams have
  a unique role to plan to ensure transparency\, accountability\, auditabil
 ity\, and human oversight are core requirements with any AI adoption. Pane
 lists will also unpack how to define and apply AI governance and bias in r
 eal-world legal and business contexts\, explore how legal teams can help d
 istinguish acceptable risk from unacceptable harm\, and how governance fra
 meworks can be designed to evolve alongside rapidly changing AI technologi
 es.\n\nAttendees will leave with practical insights into how their legal d
 epartment can approve\, deploy\, and stand behind AI tools\, and how stron
 g governance frameworks enable AI to scale responsibly without eroding tru
 st.
TRIGGER:-PT15M
END:VALARM
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