BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/London BEGIN:DAYLIGHT DTSTART:20260329T020000 TZOFFSETFROM:+0000 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:BST END:DAYLIGHT BEGIN:STANDARD DTSTART:20261025T010000 TZOFFSETFROM:+0100 TZOFFSETTO:+0000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:GMT END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260818T160643Z UID:8FE26C39-BCA6-4E16-88F8-AE933CF9C3F2 DTSTART;TZID=Europe/London:20260818T120000 DTEND;TZID=Europe/London:20260818T130000 DESCRIPTION:Paul Parkinson is Co-Founder of ExecLevel AI (www.execlevelai.e u)\, a compliance and governance platform designed for the C-suite\, focus ed on the intersection of AI governance and the EU AI Act. He has conducte d several EU AI Act compliance audits in practice. Previously\, Paul was a Visiting Senior Fellow at Lincoln University Business School and spent ma ny years as a Senior Business Consultant at IBM\, working across the Unite d States\, Europe\, and Asia. This combination of enterprise consulting ex perience and hands-on compliance expertise makes his perspective particula rly valuable to researchers\, engineers\, and industry practitioners alike .\n\nAbstract: Robotics\, autonomous systems\, and healthcare AI fall squa rely within the EU AI Act’s highest-risk categories — and the timeline for those obligations has just shifted. Under the recently adopted Digita l Omnibus\, the high-risk requirements for these systems have been deferre d\, and for AI embedded in machinery the requirements are being routed thr ough the Machinery Regulation rather than applied directly. Developers gai n more runway\, but not less responsibility. The harder question has simpl y moved to the front: when an autonomous system fails\, accountability res ts with a human\, not the algorithm — so where exactly does that respons ibility sit?\n\nIn this lecture\, Paul examines the accountability archite cture the Act demands and why it matters most for robotics and autonomous systems. He will show how conformity assessment and a defensible governanc e record turn “we acted responsibly” from a statement of intent into s omething an organisation can actually prove — and what teams building th ese technologies can put in place now\, well ahead of the revised deadline s.\n\nMore information at the link: https://tinyurl.com/ieeeUKI-RAS-PaulPa rkinsonTalk\n\nAgenda: \nPaul Parkinson — Co-Founder\, ExecLevel AI (www .execlevelai.eu) will present a Prestigious Lecture on "The EU AI Act and Its Implications for AI and Robotics" at 12:00 (UTC+1) on August 18th 2026 .\n\nThe talk will last 60 minutes distributed between the Prestigious Lec ture\, followed by questions & answers.\n\nVirtual: https://events.vtools. ieee.org/m/567709 LOCATION:Virtual: https://events.vtools.ieee.org/m/567709 ORGANIZER:figueredo@ieee.org SEQUENCE:13 SUMMARY:[IEEE UKI-RAS]-[Prestigious Talk] Paul Parkinson --- The EU AI Act and Its Implications for AI and Robotics URL;VALUE=URI:https://events.vtools.ieee.org/m/567709 X-ALT-DESC:Description: <br /><p><strong>Paul Parkinson</strong> is Co-Foun der of ExecLevel AI (www.execlevelai.eu)\, a compliance and governance pla tform designed for the C-suite\, focused on the intersection of AI governa nce and the EU AI Act. He has conducted several EU AI Act compliance audit s in practice. Previously\, Paul was a Visiting Senior Fellow at Lincoln U niversity Business School and spent many years as a Senior Business Consul tant at IBM\, working across the United States\, Europe\, and Asia. This c ombination of enterprise consulting experience and hands-on compliance exp ertise makes his perspective particularly valuable to researchers\, engine ers\, and industry practitioners alike.</p>\n<p>&nbsp\;</p>\n<p><strong>Ab stract</strong>: Robotics\, autonomous systems\, and healthcare AI fall sq uarely within the EU AI Act&rsquo\;s highest-risk categories &mdash\; and the timeline for those obligations has just shifted. Under the recently ad opted Digital Omnibus\, the high-risk requirements for these systems have been deferred\, and for AI embedded in machinery the requirements are bein g routed through the Machinery Regulation rather than applied directly. De velopers gain more runway\, but not less responsibility. The harder questi on has simply moved to the front: when an autonomous system fails\, accoun tability rests with a human\, not the algorithm &mdash\; so where exactly does that responsibility sit?&nbsp\;</p>\n<p>In this lecture\, Paul examin es the accountability architecture the Act demands and why it matters most for robotics and autonomous systems. He will show how conformity assessme nt and a defensible governance record turn &ldquo\;we acted responsibly&rd quo\; from a statement of intent into something an organisation can actual ly prove &mdash\; and what teams building these technologies can put in pl ace now\, well ahead of the revised deadlines.</p>\n<p>&nbsp\;</p>\n<p>Mor e information at the link: https://tinyurl.com/ieeeUKI-RAS-PaulParkinsonTa lk</p><br /><br />Agenda: <br /><p><strong>Paul Parkinson</strong> &mdash\ ; Co-Founder\, ExecLevel AI (<a href="https://www.execlevelai.eu">www.exec levelai.eu</a>)&nbsp\; will present a Prestigious Lecture on "The EU AI Ac t and Its Implications for AI and Robotics" at 12:00 (UTC+1) on August 18t h 2026.&nbsp\;</p>\n<p>The talk will last 60 minutes distributed between t he Prestigious Lecture\, followed by questions &amp\; answers.&nbsp\;</p> END:VEVENT END:VCALENDAR