BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Europe/Copenhagen
BEGIN:DAYLIGHT
DTSTART:20260329T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20261025T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260806T100620Z
UID:2CD549A2-058D-4BBC-B2B7-A3638F56F64E
DTSTART;TZID=Europe/Copenhagen:20260806T110000
DTEND;TZID=Europe/Copenhagen:20260806T120000
DESCRIPTION:The talk will explore how this paradigm can enable AI systems t
 hat not only learn from data\, but also understand context\, reason about 
 consequences\, explain their decisions\, detect contradictions\, resist ad
 versarial manipulation\, and operate within explicit safety and ethical co
 nstraints. Drawing on examples from trustworthy AI\, cybersecurity\, auton
 omous systems\, IoT\, and cyber-physical systems\, the lecture will examin
 e both transformative opportunities and grand challenges. Ultimately\, it 
 will advance a vision of AI that is not merely powerful\, but verifiably t
 rustworthy—intelligent systems designed to earn\, sustain\, and deserve 
 human trust.\n\nCo-sponsored by: Sean Bin Yang\n\nSpeaker(s): Herbert\, \n
 \nBldg: Building B\, 3rd Floor\, CMI Meeting Room\, Frederikskaj 12\, 2450
 \,  Copenhagen\, Kobenhavns Amt\, Denmark\, Virtual: https://events.vtools
 .ieee.org/m/570599
LOCATION:Bldg: Building B\, 3rd Floor\, CMI Meeting Room\, Frederikskaj 12\
 , 2450\,  Copenhagen\, Kobenhavns Amt\, Denmark\, Virtual: https://events.
 vtools.ieee.org/m/570599
ORGANIZER:edu@es.aau.dk
SEQUENCE:21
SUMMARY:Enabling Trustworthy Systems through Neuro-symbolic AI
URL;VALUE=URI:https://events.vtools.ieee.org/m/570599
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;The talk will explore how this paradigm ca
 n enable AI systems that not only learn from data\, but also understand co
 ntext\, reason about consequences\, explain their decisions\, detect contr
 adictions\, resist adversarial manipulation\, and operate within explicit 
 safety and ethical constraints. Drawing on examples from trustworthy AI\, 
 cybersecurity\, autonomous systems\, IoT\, and cyber-physical systems\, th
 e lecture will examine both transformative opportunities and grand challen
 ges. Ultimately\, it will advance a vision of AI that is not merely powerf
 ul\, but verifiably trustworthy&amp;mdash\;intelligent systems designed to ear
 n\, sustain\, and deserve human trust.&lt;/p&gt;
END:VEVENT
END:VCALENDAR

