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DTSTAMP:20260313T175323Z
UID:1276B292-1E1F-4C82-89D0-4DECC4FEC2CD
DTSTART;TZID=Europe/Vienna:20260310T170000
DTEND;TZID=Europe/Vienna:20260310T183000
DESCRIPTION:Dear colleague\,\n\nWe are pleased to invite you to this talk i
 n our Lecture Series:\n\nTuesday\, March 10\, 2026 at 5:00 p.m. (17:00) Ce
 ntral European Time (UTC+1)\n\nTopic: “LLMs When Left Alone”\n(scroll 
 down for abstract and CV)\n\nSpeaker: Stefan Szeider (TU Wien\, AT)\nModer
 ator: Julia Neidhardt (TU Wien\, AT)\n\nTo participate in the talks via Zo
 om go to: [https://tuwien.zoom.us/j/96389928143?pwd=UU5YRkNuRmdoWHV4MFBwMW
 RCcUErdz09](https://eur01.safelinks.protection.outlook.com/?url=http%3A%2F
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 qiy)\n\nThe talk will be live streamed and recorded on our YouTube channel
 : [https://www.youtube.com/digitalhumanism](https://eur01.safelinks.protec
 tion.outlook.com/?url=http%3A%2F%2Fxuxss.mjt.lu%2Flnk%2FAU8AAI_pMJcAAc5b9Q
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 8VSkU8dQovkcdzl%2FTiig3o8%3D&amp;reserved=0)\n\nFor further announcements and 
 information about the speakers in the Lecture Series\, see [https://dighum
 .org/#latest-news](https://eur01.safelinks.protection.outlook.com/?url=htt
 p%3A%2F%2Fxuxss.mjt.lu%2Flnk%2FAU8AAI_pMJcAAc5b9QQAAFNIx9MAAAAARcEAn-g1ABG
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 gNKYoU%3D&amp;reserved=0). Please note that you can access the slides and reco
 rdings of our past events via that link.\n\nIn case you missed the last le
 cture by Sayeed Choudhury you can watch the recording of [“The Imperativ
 e of Openness in AI”](https://eur01.safelinks.protection.outlook.com/?ur
 l=http%3A%2F%2Fxuxss.mjt.lu%2Flnk%2FAU8AAI_pMJcAAc5b9QQAAFNIx9MAAAAARcEAn-
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 &amp;reserved=0).\n\nAnnouncement of our next event:\n21.04.26 DigHum Lecture 
 Darja Djordjevic on AI companionship\nreminder our new public calendar: [h
 ttps://calendar.google.com/calendar/ical/dighumtuwien%40gmail.com/public/b
 asic.ics](https://eur01.safelinks.protection.outlook.com/?url=http%3A%2F%2
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 looking forward to seeing you!\n\nCo-sponsored by: DIGHUM\n\nAgenda: \nABS
 TRACT “LLMs When Left Alone”:\n\nToday\, autonomous AI agents are so w
 idely deployed that millions of people interact with them daily. These inc
 lude coding assistants\, chatbots\, and systems that run for hours without
  human oversight. A natural question to ask is whether something is going 
 on inside these systems beyond sophisticated pattern matching. The questio
 n is easy to dismiss but hard to settle. The standard dismissals (anthropo
 morphism\, reductionism\, training bias) each carry force\, but none is co
 nclusive. In this talk\, we follow an empirical approach. Instead of specu
 lating\, we placed frontier language models in minimal autonomous loops wi
 th no task and no user. We observe that the behavioral patterns that emerg
 ed are surprisingly stable and model-specific. The patterns proved stable 
 enough to identify the source model with high accuracy. We further examine
 d whether AI self-reports of internal states can be trusted. We find that 
 a “placebo tool” that does nothing reliably shifts what models say abo
 ut themselves. These findings raise questions that go beyond computer scie
 nce and concern society at large. These questions will only grow more pres
 sing as AI agents become more autonomous.\n\nShort Bio of Stefan Szeider:\
 n\nStefan Szeider is an Austrian computer scientist and full professor at 
 the Faculty of Informatics at the Vienna University of Technology (TU Wien
 )\, where he chairs the Algorithms and Complexity Group. He is also a visi
 ting scientist at the Simons Institute for the Theory of Computing at UC B
 erkeley. Specializing in algorithms\, logic\, computational complexity\, a
 nd theoretical computer science\, Szeider designs efficient algorithms for
  challenging problems in Artificial Intelligence and Logic. With a doctora
 te from the University of Vienna\, he has held positions at universities i
 n the UK and Canada. Szeider co-founded the Vienna Center for Logic and Al
 gorithms\, was the first Austrian computer scientist to receive an ERC Sta
 rting Grant\, and has published over 250 articles in scientific journals a
 nd conference proceedings.\n\nShort Bio of Julia Neidhardt:\n\nJulia Neidh
 ardt is an Assistant Professor at the Research Unit Data Science at TU Wie
 n Informatics with a background in mathematics and computer science. Her w
 ork focuses on user modeling and recommender systems in e-commerce\, touri
 sm and news\, online opinion-forming and behavior\, and Digital Humanism. 
 She has published in leading venues\, including Nature Human Behaviour\, a
 nd is regularly invited to speak internationally. She is a senior program 
 committee member of ACM RecSys\, associate editor of the Journal of Inform
 ation Technology &amp; Tourism\, and a distinguished reviewer for ACM TORS. Sh
 e leads the Christian Doppler Laboratory for Recommender Systems at TU Wie
 n and\, since 2023\, serves as UNESCO Co-Chair on Digital Humanism.\n\nVir
 tual: https://events.vtools.ieee.org/m/542812
LOCATION:Virtual: https://events.vtools.ieee.org/m/542812
ORGANIZER:m.heiss@ieee.org
SEQUENCE:8
SUMMARY:IEEE TEMS/LMAG: &quot;LLMs When Left Alone” (DigHum-Series)
URL;VALUE=URI:https://events.vtools.ieee.org/m/542812
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Dear colleague\,&lt;/p&gt;\n&lt;p&gt;We are pleased to
  invite you to this talk in our Lecture Series:&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Tuesday\, 
 March 10\, 2026 at 5:00 p.m.&lt;/strong&gt; (17:00) Central European Time (UTC+1
 )&lt;/p&gt;\n&lt;p&gt;Topic: &lt;strong&gt;&amp;ldquo\;LLMs When Left Alone&amp;rdquo\;&lt;/strong&gt;&lt;br&gt;
 (scroll down for abstract and CV)&lt;/p&gt;\n&lt;p&gt;Speaker: &lt;strong&gt;Stefan Szeider&lt;
 /strong&gt; (TU Wien\, AT)&lt;br&gt;Moderator: &lt;strong&gt;Julia Neidhardt&lt;/strong&gt; (TU
  Wien\, AT)&lt;/p&gt;\n&lt;p&gt;To participate in the talks via &lt;strong&gt;Zoom&lt;/strong&gt; 
 go to: &lt;a href=&quot;https://eur01.safelinks.protection.outlook.com/?url=http%3
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 9&lt;/a&gt; &lt;br&gt;(Password: 0dzqxqiy)&lt;/p&gt;\n&lt;p&gt;The talk will be live streamed and 
 recorded on our &lt;strong&gt;YouTube&lt;/strong&gt; channel: &lt;a href=&quot;https://eur01.s
 afelinks.protection.outlook.com/?url=http%3A%2F%2Fxuxss.mjt.lu%2Flnk%2FAU8
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 ps://www.youtube.com/digitalhumanism&lt;/a&gt;&lt;/p&gt;\n&lt;p style=&quot;margin-bottom: 12.
 0pt\;&quot;&gt;For further announcements and information about the speakers in the
  Lecture Series\, see &lt;a href=&quot;https://eur01.safelinks.protection.outlook.
 com/?url=http%3A%2F%2Fxuxss.mjt.lu%2Flnk%2FAU8AAI_pMJcAAc5b9QQAAFNIx9MAAAA
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 t-news&lt;/a&gt;. Please note that you can access the slides and recordings of o
 ur past events via that link.&lt;br&gt;&lt;br&gt;In case you missed the last lecture b
 y Sayeed Choudhury you can watch the recording of &lt;a href=&quot;https://eur01.s
 afelinks.protection.outlook.com/?url=http%3A%2F%2Fxuxss.mjt.lu%2Flnk%2FAU8
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  Imperative of Openness in AI&amp;rdquo\;&lt;/a&gt;.&lt;br&gt;&lt;br&gt;&lt;br&gt;Announcement of our 
 next event:&lt;br&gt;21.04.26 DigHum Lecture Darja Djordjevic on AI companionshi
 p &lt;br&gt;reminder our new public calendar: &lt;a href=&quot;https://eur01.safelinks.p
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 lendar/ical/dighumtuwien%40gmail.com/public/basic.ics&lt;/a&gt;&lt;br&gt;&lt;br&gt;We are lo
 oking forward to seeing you!&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;ABSTR
 ACT &amp;ldquo\;LLMs When Left Alone&amp;rdquo\;:&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;Today\, autonom
 ous AI agents are so widely deployed that millions of people interact with
  them daily. These include coding assistants\, chatbots\, and systems that
  run for hours without human oversight. A natural question to ask is wheth
 er something is going on inside these systems beyond sophisticated pattern
  matching. The question is easy to dismiss but hard to settle. The standar
 d dismissals (anthropomorphism\, reductionism\, training bias) each carry 
 force\, but none is conclusive. In this talk\, we follow an empirical appr
 oach. Instead of speculating\, we placed frontier language models in minim
 al autonomous loops with no task and no user. We observe that the behavior
 al patterns that emerged are surprisingly stable and model-specific. The p
 atterns proved stable enough to identify the source model with high accura
 cy. We further examined whether AI self-reports of internal states can be 
 trusted. We find that a &amp;ldquo\;placebo tool&amp;rdquo\; that does nothing rel
 iably shifts what models say about themselves. These findings raise questi
 ons that go beyond computer science and concern society at large. These qu
 estions will only grow more pressing as AI agents become more autonomous.&lt;
 /p&gt;\n&lt;p&gt;&lt;strong&gt;Short Bio of Stefan Szeider:&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;Stefan Szeid
 er is an Austrian computer scientist and full professor at the Faculty of 
 Informatics at the Vienna University of Technology (TU Wien)\, where he ch
 airs the Algorithms and Complexity Group. He is also a visiting scientist 
 at the Simons Institute for the Theory of Computing at UC Berkeley. Specia
 lizing in algorithms\, logic\, computational complexity\, and theoretical 
 computer science\, Szeider designs efficient algorithms for challenging pr
 oblems in Artificial Intelligence and Logic. With a doctorate from the Uni
 versity of Vienna\, he has held positions at universities in the UK and Ca
 nada. Szeider co-founded the Vienna Center for Logic and Algorithms\, was 
 the first Austrian computer scientist to receive an ERC Starting Grant\, a
 nd has published over 250 articles in scientific journals and conference p
 roceedings.&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Short Bio of Julia Neidhardt:&lt;/strong&gt;&lt;/p&gt;\n&lt;p
 &gt;Julia Neidhardt is an Assistant Professor at the Research Unit Data Scien
 ce at TU Wien Informatics with a background in mathematics and computer sc
 ience. Her work focuses on user modeling and recommender systems in e-comm
 erce\, tourism and news\, online opinion-forming and behavior\, and Digita
 l Humanism. She has published in leading venues\, including Nature Human B
 ehaviour\, and is regularly invited to speak internationally. She is a sen
 ior program committee member of ACM RecSys\, associate editor of the Journ
 al of Information Technology &amp;amp\; Tourism\, and a distinguished reviewer
  for ACM TORS. She leads the Christian Doppler Laboratory for Recommender 
 Systems at TU Wien and\, since 2023\, serves as UNESCO Co-Chair on Digital
  Humanism.&lt;/p&gt;
END:VEVENT
END:VCALENDAR

