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:20260802T224849Z UID:240B5295-452D-4EFC-B9EA-AF8F26DD8198 DTSTART;TZID=Europe/Copenhagen:20260813T130000 DTEND;TZID=Europe/Copenhagen:20260813T150000 DESCRIPTION:This is a Joint Distinguished Lecture hosted by the IEEE Comput er Society Sweden Chapter\, IEEE VT/COM/IT Sweden Section Jt. Chapter\, an d Uppsala University.\n\nLecture Abstract:\n\nAI is entering an era in whi ch intelligent systems will increasingly perceive\, reason\, decide\, and act in the physical and digital worlds. From autonomous vehicles and intel ligent infrastructure to cybersecurity and next-generation Internet of Thi ngs\, the question is no longer simply whether AI can be made more capable \, but whether it can be trusted with consequential decisions. Today’s p redominantly data-driven AI systems remain limited by fundamental challeng es in explainability\, robustness\, security\, verifiability\, accountabil ity\, and alignment with human values.\n\nThis distinguished lecture will present a vision for neuro-symbolic AI as a foundation for the next genera tion of trustworthy intelligent systems. By integrating the adaptive learn ing and perceptual capabilities of neural networks with the structured kno wledge\, logical reasoning\, causal understanding\, and formal guarantees of symbolic AI\, neuro-symbolic systems can move beyond the limitations of purely statistical intelligence.\n\nThe talk will explore how this paradi gm can enable AI systems that not only learn from data\, but also understa nd context\, reason about consequences\, explain their decisions\, detect contradictions\, resist adversarial manipulation\, and operate within expl icit safety and ethical constraints. Drawing on examples from trustworthy AI\, cybersecurity\, autonomous systems\, IoT\, and cyber-physical systems \, the lecture will examine both transformative opportunities and grand ch allenges. Ultimately\, it will advance a vision of AI that is not merely p owerful\, but verifiably trustworthy—intelligent systems designed to ear n\, sustain\, and deserve human trust.\n\nSpeaker(s): Houbing Herbert Song Ph. D.\, IEEE Fellow & Co-EiC of IEEE TII\n\nRoom: Room 106157\, Bldg: Å ngströmlaboratoriet\, Lägerhyddsvägen 1\, Uppsala\, Uppsala lan\, Swede n\, 752 37\, Virtual: https://events.vtools.ieee.org/m/570982 LOCATION:Room: Room 106157\, Bldg: Ångströmlaboratoriet\, Lägerhyddsväg en 1\, Uppsala\, Uppsala lan\, Sweden\, 752 37\, Virtual: https://events.v tools.ieee.org/m/570982 ORGANIZER:dakkak@ieee.org SEQUENCE:42 SUMMARY:Enabling Trustworthy Systems through Neuro-symbolic AI URL;VALUE=URI:https://events.vtools.ieee.org/m/570982 X-ALT-DESC:Description: <br /><p><span style="font-size: 12.0pt\; line-heig ht: 107%\; font-family: 'Arial'\,sans-serif\; mso-fareast-font-family: 'Ti mes New Roman'\; color: #222222\; mso-font-kerning: 0pt\; mso-ligatures: n one\; mso-ansi-language: EN-GB\; mso-fareast-language: EN-GB\; mso-bidi-la nguage: AR-SA\;">This is a Joint Distinguished Lecture hosted by the IEEE Computer Society Sweden Chapter\,&nbsp\;IEEE VT/COM/IT Sweden Section Jt. Chapter\, and Uppsala University.</span></p>\n<p><strong><span style="font -size: 12.0pt\; line-height: 107%\; font-family: 'Arial'\,sans-serif\; mso -fareast-font-family: 'Times New Roman'\; color: #222222\; mso-font-kernin g: 0pt\; mso-ligatures: none\; mso-ansi-language: EN-GB\; mso-fareast-lang uage: EN-GB\; mso-bidi-language: AR-SA\;">Lecture Abstract:</span></strong ></p>\n<p><span style="font-size: 12.0pt\; line-height: 107%\; font-family : 'Arial'\,sans-serif\; mso-fareast-font-family: 'Times New Roman'\; color : #222222\; mso-font-kerning: 0pt\; mso-ligatures: none\; mso-ansi-languag e: EN-GB\; mso-fareast-language: EN-GB\; mso-bidi-language: AR-SA\;">AI is entering an era in which intelligent systems will increasingly perceive\, reason\, decide\, and act in the physical and digital worlds. From autono mous vehicles and intelligent infrastructure to cybersecurity and next-gen eration Internet of Things\, the question is no longer simply whether AI c an be made more capable\, but whether it can be trusted with consequential decisions. Today&rsquo\;s predominantly data-driven AI systems remain lim ited by fundamental challenges in explainability\, robustness\, security\, verifiability\, accountability\, and alignment with human values.<br><br> This distinguished lecture will present a vision for neuro-symbolic AI as a foundation for the next generation of trustworthy intelligent systems. B y integrating the adaptive learning and perceptual capabilities of neural networks with the structured knowledge\, logical reasoning\, causal unders tanding\, and formal guarantees of symbolic AI\, neuro-symbolic systems ca n move beyond the limitations of purely statistical intelligence. <br><br> The talk will explore how this paradigm can enable AI systems that not onl y learn from data\, but also understand context\, reason about consequence s\, explain their decisions\, detect contradictions\, resist adversarial m anipulation\, and operate within explicit safety and ethical constraints. Drawing on examples from trustworthy AI\, cybersecurity\, autonomous syste ms\, IoT\, and cyber-physical systems\, the lecture will examine both tran sformative opportunities and grand challenges. Ultimately\, it will advanc e a vision of AI that is not merely powerful\, but verifiably trustworthy& mdash\;intelligent systems designed to earn\, sustain\, and deserve human trust.</span></p> END:VEVENT END:VCALENDAR