BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260309T004449Z UID:22FED8FF-1C8B-4E19-935D-FA48B260CE0B DTSTART;TZID=America/New_York:20260305T180000 DTEND;TZID=America/New_York:20260305T190000 DESCRIPTION:[Distributed Quantum Neural Networks on Distributed Photonic Qu antum Computing]\n\nSpecial Presentation by Robert Rittich (Counter Measur es Security\, USA)\n\nHosted by the Future Networks Artificial Intelligenc e & Machine Learning (AI/ML) Working Group\n\nDate/Time: Thursday\, 5 Marc h 2026 @ 6 PM Eastern Time (3 PM Pacific Time)\n\nTopic:\n\nInfrastructure as an Emergent Behavior-Shaping System in Networked Physical AI\n\nAbstra ct:\n\nModern security thinking around AI and networking often treats infr astructure as neutral plumbing: systems designed to transport data\, coord inate services\, and optimize performance. In practice\, however\, infrast ructure exhibits emergent behavior. As trusted systems scale\, they shape how humans and machines interact\, what is considered normal operation\, a nd which actions are taken without reflection—often before adversarial u se becomes visible.\n\nThis talk examines how implicit trust in networked infrastructure creates unexamined attack surface as an emergent property o f technical design choices. Drawing on real-world examples — from browse r push notification ecosystems to industrial control systems and emerging physical AI platforms — the presentation shows how infrastructure origin ally designed for benign environments establishes habits\, incentives\, an d coordination patterns that later prove difficult to unwind.\n\nAs AI sys tems become embodied\, mobile\, and collaborative — operating through pr oximity-based communication\, device swarms\, and delegated decision-makin g — the behavioral effects of infrastructure become more pronounced. Rat her than predicting specific threats or proposing controls\, this talk app lies a risk manager’s lens to surface recurring architectural patterns: where trust migrates into systems by default\, where behavior adapts faste r than threat models\, and where networking decisions amplify downstream c onsequences once physical systems are involved.\n\nSpeaker:\n\n[]\nRobert Rittich is an independent technology consultant and researcher focused on the intersection of networking\, artificial intelligence\, and system-leve l risk. He is the founder of Counter Measures Security LLC and holds an MS in Cybersecurity\, along with CISSP\, CEH\, and CHPS certifications. Whil e his background is rooted in offensive and defensive security practice\, Robert’s current work examines how emerging AI-driven systems — spanni ng robotics\, autonomous platforms\, wearables\, and human augmentation — operate in real-world environments and at scale. His perspective is in formed by hands-on experience assessing how systems behave when optimized for performance\, efficiency\, and low friction. Rather than approaching t hese challenges from a narrowly defined security role\, his work emphasize s architectural thinking and cross-domain awareness\, informed by how comp lex systems evolve once they are deployed and interconnected.\n\nBrochure (PDF): [Webinar-AIML-2026-03-05-Rittich-InfraBehaviorPhysicalAI-Brochure.p df](https://drive.google.com/file/d/1kFImhnpsJ8Kx128OnMnwgkcgZbe1CVUP/view )\n\nCo-sponsored by: Future Networks Artificial Intelligence & Machine Le arning (AIML) Working Group\n\nVirtual: https://events.vtools.ieee.org/m/5 32025 LOCATION:Virtual: https://events.vtools.ieee.org/m/532025 ORGANIZER:baw@ieee.org SEQUENCE:11 SUMMARY:Infrastructure as an Emergent Behavior-Shaping System in Networked Physical AI URL;VALUE=URI:https://events.vtools.ieee.org/m/532025 X-ALT-DESC:Description: <br /><p class="MsoNormal" style="margin-top: .25in \;"><img src="https://events.vtools.ieee.org/vtools_ui/media/display/a085a a3d-ca29-4c9e-877b-bdab4fd5ffc2" alt="Distributed Quantum Neural Networks on Distributed Photonic Quantum Computing" width="750" height="197"></p>\n <p class="MsoNormal" style="margin-top: 12.0pt\;">Special Presentation by< strong> Robert Rittich (Counter Measures Security\, USA)</strong></p>\n<p class="MsoNormal" style="margin-top: 12.0pt\;">Hosted by the Future Networ ks<strong> Artificial Intelligence &amp\; Machine Learning (AI/ML) Working Group</strong></p>\n<p class="MsoNormal" style="margin-top: 12.0pt\;"><st rong><span style="font-size: 14.0pt\; font-family: Copperplate\; mso-farea st-font-family: PMingLiU\; mso-fareast-theme-font: minor-fareast\; mso-bid i-font-family: Arial\; mso-bidi-theme-font: minor-bidi\; mso-ansi-language : EN-US\; mso-fareast-language: ZH-TW\; mso-bidi-language: AR-SA\;">Date/T ime</span></strong><span style="font-size: 12.0pt\; font-family: 'Calibri' \,sans-serif\; mso-ascii-theme-font: minor-latin\; mso-fareast-font-family : PMingLiU\; mso-fareast-theme-font: minor-fareast\; mso-hansi-theme-font: minor-latin\; mso-bidi-font-family: Arial\; mso-bidi-theme-font: minor-bi di\; mso-ansi-language: EN-US\; mso-fareast-language: ZH-TW\; mso-bidi-lan guage: AR-SA\;">: <strong>Thursday\, 5 March 2026</strong><strong>&nbsp\;@ 6 PM Eastern Time (3 PM Pacific Time)</strong></span></p>\n<p class="MsoN ormal" style="margin-top: .25in\;"><strong><u><span style="font-size: 16.0 pt\; font-family: Copperplate\;">Topic</span></u></strong><strong><span st yle="font-size: 16.0pt\; font-family: Copperplate\;">:</span></strong></p> \n<p class="MsoNormal"><strong><span style="font-size: 16pt\;">Infrastruct ure as an Emergent Behavior-Shaping System in Networked Physical AI</span> </strong></p>\n<p class="MsoNormal" style="margin-top: .25in\;"><strong><u ><span style="font-size: 16.0pt\; font-family: Copperplate\;">Abstract</sp an></u></strong><strong><span style="font-size: 16.0pt\; font-family: Copp erplate\;">:</span></strong></p>\n<p>Modern security thinking around AI an d networking often treats infrastructure as neutral plumbing: systems desi gned to transport data\, coordinate services\, and optimize performance. I n practice\, however\, infrastructure exhibits emergent behavior. As trust ed systems scale\, they shape how humans and machines interact\, what is c onsidered normal operation\, and which actions are taken without reflectio n&mdash\;often before adversarial use becomes visible.</p>\n<p>This talk e xamines how implicit trust in networked infrastructure creates unexamined attack surface as an emergent property of technical design choices. Drawin g on real-world examples &mdash\; from browser push notification ecosystem s to industrial control systems and emerging physical AI platforms &mdash\ ; the presentation shows how infrastructure originally designed for benign environments establishes habits\, incentives\, and coordination patterns that later prove difficult to unwind.</p>\n<p>As AI systems become embodie d\, mobile\, and collaborative &mdash\; operating through proximity-based communication\, device swarms\, and delegated decision-making &mdash\; the behavioral effects of infrastructure become more pronounced. Rather than predicting specific threats or proposing controls\, this talk applies a ri sk manager&rsquo\;s lens to surface recurring architectural patterns: wher e trust migrates into systems by default\, where behavior adapts faster th an threat models\, and where networking decisions amplify downstream conse quences once physical systems are involved.</p>\n<p><strong><span style="f ont-size: 16.0pt\; font-family: Copperplate\;"><u>Speaker</u>:</span></str ong></p>\n<table style="border-collapse: collapse\; width: 100%\;" border= "1"><colgroup><col style="width: 17.466411%\;"><col style="width: 82.43762 %\;"></colgroup>\n<tbody>\n<tr>\n<td><img src="https://events.vtools.ieee. org/vtools_ui/media/display/2dc0b6a2-d537-43ea-b005-f0271b2f09f3" alt="" w idth="164" height="200"></td>\n<td>\n<p><strong>Robert Rittich</strong> is an independent technology consultant and researcher focused on the inters ection of networking\, artificial intelligence\, and system-level risk. He is the founder of Counter Measures Security LLC and holds an MS in Cybers ecurity\, along with CISSP\, CEH\, and CHPS certifications. While his back ground is rooted in offensive and defensive security practice\, Robert&rsq uo\;s current work examines how emerging AI-driven systems &mdash\; spanni ng robotics\, autonomous platforms\, wearables\, and human augmentation &m dash\; operate in real-world environments and at scale. His perspective is informed by hands-on experience assessing how systems behave when optimiz ed for performance\, efficiency\, and low friction. Rather than approachin g these challenges from a narrowly defined security role\, his work emphas izes architectural thinking and cross-domain awareness\, informed by how c omplex systems evolve once they are deployed and interconnected.</p>\n</td >\n</tr>\n</tbody>\n</table>\n<p>&nbsp\;</p>\n<p><strong>Brochure (PDF)</s trong>: <a href="https://drive.google.com/file/d/1kFImhnpsJ8Kx128OnMnwgkcg Zbe1CVUP/view" target="_blank" rel="noopener">Webinar-AIML-2026-03-05-Ritt ich-InfraBehaviorPhysicalAI-Brochure.pdf</a></p> END:VEVENT END:VCALENDAR