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BEGIN:VEVENT
DTSTAMP:20260628T011929Z
DTSTART;TZID=Europe/Berlin:20260701T234500
DTEND;TZID=Europe/Berlin:20260701T234500
SUMMARY:PhilML'26
UID:20260628T115516Z-iCalPlugin-Grails@philevents-web-bd7db559-gt5qm
TZID:Europe/Berlin
LOCATION:LMU Munich\, Munich\, Germany
DESCRIPTION:<p>We are pleased to announce the latest iteration of PhilML\, from October 7-9 2026\, at the LMU Munich. &nbsp\;</p>\n<p>PhilML is an annual conference dedicated to the philosophy of machine learning. It addresses foundational epistemological\, ethical\, and social questions concerning machine learning from the perspective of analytic philosophy. The conference welcomes both (1) work that applies philosophical concepts and methods to gain insight into machine learning\, and (2) work that critically reflects on the philosophical and ethical implications of machine learning research. To foster close and productive exchange\, PhilML brings together philosophers and philosophically inclined machine learning researchers\, with an openness to engaging directly with scientific and mathematical details.&nbsp\;</p>\n<p>Central topics that will be covered at the conference include:</p>\n<ol>\n<li>\n<p>Reflections on key topics such as learning\, benchmarking\, robustness\, explanation\, causality\, trust\, transparency\, reliability\, and fairness.</p>\n</li>\n<li>\n<p>Novel considerations raised by foundation models e.g.\, agency\, alignment\, authorship\, mechanistic interpretability\, safety\, or homogenization.</p>\n</li>\n<li>\n<p>Issues arising at the intersection of machine learning and public policy\, e.g. public services\, resource allocation\, or climate policy.</p>\n</li>\n<li>\n<p>Implications of machine learning for the sciences or their methodology\, e.g. physics\, cognitive science\, biology\, social science\, or medicine.</p>\n</li>\n</ol>\n<p>The conference has space for a number of contributing speakers. We are soliciting abstracts of up to 1\,000 words. Abstracts can be submitted through Oxford Abstracts: https://app.oxfordabstracts.com/stages/82713/submitter . Abstracts must be submitted by July 1\, 2026. Abstracts from scholars at all career stages are welcome\, including PhD students.&nbsp\;</p>\n<p>We are excited to announce that the speakers at this year's conference will include: Sara Aronowitz\, Anne-Laure Boulesteix\, Ali Boyle\,&nbsp\; Annemarie Friedrich\, Konstantin Genin\, Lily Hu\, Christoph Kern\, and Anders S&oslash\;gaard.&nbsp\;</p>\n<p>There will also be a PhD student workshop on October 6\, 2026. The call for abstracts will be announced in due course.&nbsp\;</p>\n<p>This iteration of PhilML is funded by the Munich Center for Machine Learning (MCML)\, Konrad Zuse School of Excellence in Reliable AI (relAI)\, and the Munich Center for Mathematical Philosophy (MCMP).&nbsp\;</p>
ORGANIZER;CN=Kate Vredenburgh;CN=Thomas Grote;CN=Tom F. Sterkenburg;CN=Timo Freiesleben:
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BEGIN:VEVENT
DTSTAMP:20260628T011929Z
DTSTART;TZID=Europe/Berlin:20260709T090000
DTEND;TZID=Europe/Berlin:20260711T170000
SUMMARY:European Congress for Metaphysics
UID:20260628T115517Z-iCalPlugin-Grails@philevents-web-bd7db559-gt5qm
TZID:Europe/Berlin
LOCATION:Geschwister-Scholl-Platz 1\, Munich\, Germany
ORGANIZER;CN=Alyssa Ney:
METHOD:PUBLISH
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260628T011929Z
DTSTART;TZID=Europe/Berlin:20260709T230000
DTEND;TZID=Europe/Berlin:20260709T230000
SUMMARY:PhilML'26 Graduate Conference
UID:20260628T115518Z-iCalPlugin-Grails@philevents-web-bd7db559-gt5qm
TZID:Europe/Berlin
LOCATION:Munich\, Germany
DESCRIPTION:<p>We are pleased to announce the latest iteration of the PhilML graduate workshop\, on October 6\, 2026\, at the LMU Munich.&nbsp\;&nbsp\;</p>\n<p><br></p>\n<p>PhilML is an annual conference dedicated to the philosophy of machine learning. It addresses foundational epistemological\, ethical\, and social questions concerning machine learning from the perspective of analytic philosophy. The conference welcomes both (1) work that applies philosophical concepts and methods to gain insight into machine learning\, and (2) work that critically reflects on the philosophical and ethical implications of machine learning research. To foster close and productive exchange\, PhilML brings together philosophers and philosophically inclined machine learning researchers\, with an openness to engaging directly with scientific and mathematical details.&nbsp\;</p>\n<p>PhilML now includes a PhD student workshop the day before the main conference. PhD students are welcome to apply with abstracts to both the PhilML graduate workshop and the PhilML workshop. We are soliciting abstracts of up to 1\,000 words. Abstracts can be submitted through Oxford Abstracts: https://app.oxfordabstracts.com/stages/82826/submitter</a>. Abstracts must be submitted by July 9\, 2026.&nbsp\;</p>\n<p>We are excited to announce that Emily Sullivan will deliver the keynote talk.&nbsp\;</p>\n<p>This iteration of PhilML is funded by the Munich Center for Machine Learning (MCML)\, Konrad Zuse School of Excellence in Reliable AI (relAI)\, and the Munich Center for Mathematical Philosophy (MCMP). </p>\n
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BEGIN:VEVENT
DTSTAMP:20260628T011929Z
DTSTART;TZID=Europe/Berlin:20260718T090000
DTEND;TZID=Europe/Berlin:20260718T170000
SUMMARY:Democracy & Joint Agency
UID:20260628T115519Z-iCalPlugin-Grails@philevents-web-bd7db559-gt5qm
TZID:Europe/Berlin
LOCATION:Zentrum für Ethik und Philosophie in der Praxis (ZEPP)\, Munich\, Germany
ORGANIZER;CN=Michele Giavazzi:
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BEGIN:VEVENT
DTSTAMP:20260628T011929Z
DTSTART;TZID=Europe/Berlin:20260823T000000
DTEND;TZID=Europe/Berlin:20260823T000000
SUMMARY:9th Workshop in Political Philosophy
UID:20260628T115520Z-iCalPlugin-Grails@philevents-web-bd7db559-gt5qm
TZID:Europe/Berlin
LOCATION:Munich\, Germany
DESCRIPTION:<p>The 9th Workshop in Political Philosophy will be held on January 14 and 15\, 2027 at Ludwig Maximilian University of Munich. This edition of the series is organized by David P. Schweikard\, Laura Valentini\, and Fabian Wendt. Submissions on any topic in analytical political philosophy\, very broadly construed\, are welcome. For the peer review process\, please send your anonymized abstract of ca. 750 words as a pdf (named &ldquo\;title_of_your_paper.pdf&rdquo\;) by August 23\, 2026 to fabianwendt@vt.edu. Only submissions in English will be accepted. This is a small\, friendly workshop\, and we expect everyone to participate for the whole two days (Thu/Fri). Speakers will have 45 minutes including Q&amp\;A. For more information on the workshop series see https://workshopfuerpolitischephilosophie.weebly.com.</a></p>
ORGANIZER;CN=Fabian Wendt;CN=Laura Valentini;CN=David P. Schweikard:
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BEGIN:VEVENT
DTSTAMP:20260628T011929Z
DTSTART;TZID=Europe/Berlin:20261006T090000
DTEND;TZID=Europe/Berlin:20261006T170000
SUMMARY:PhilML'26 Graduate Conference
UID:20260628T115521Z-iCalPlugin-Grails@philevents-web-bd7db559-gt5qm
TZID:Europe/Berlin
LOCATION:Munich\, Germany
DESCRIPTION:<p>PhilML is an annual conference dedicated to the philosophy of machine learning. It addresses foundational epistemological\, ethical\, and social questions concerning machine learning from the perspective of analytic philosophy. The conference welcomes both (1) work that applies philosophical concepts and methods to gain insight into machine learning\, and (2) work that critically reflects on the philosophical and ethical implications of machine learning research. To foster close and productive exchange\, PhilML brings together philosophers and philosophically inclined machine learning researchers\, with an openness to engaging direclty with scientific and mathematical details. &nbsp\;</p>\n<p>PhilML'26 will have a graduate conference associated to the main conference. The graduate conference will take place at LMU Munich on <strong>October 6</strong>.&nbsp\;</p>\n
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END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260628T011929Z
DTSTART;TZID=Europe/Berlin:20261007T100000
DTEND;TZID=Europe/Berlin:20261009T170000
SUMMARY:PhilML'26
UID:20260628T115522Z-iCalPlugin-Grails@philevents-web-bd7db559-gt5qm
TZID:Europe/Berlin
LOCATION:LMU Munich\, Munich\, Germany
DESCRIPTION:<p>This is a save the date for the annual PhilML conference.</p>\n<p>PhilML is an annual conference dedicated to the philosophy of machine learning. It addresses foundational epistemological\, ethical\, and social questions concerning machine learning from the perspective of analytic philosophy. The conference welcomes both (1) work that applies philosophical concepts and methods to gain insight into machine learning\, and (2) work that critically reflects on the philosophical and ethical implications of machine learning research. To foster close and productive exchange\, PhilML brings together philosophers and philosophically inclined machine learning researchers\, with an openness to engaging direclty with scientific and mathematical details. &nbsp\;</p>\n<p>PhilML'26 will take place at LMU Munich from October 7-9. The call for papers will be announced in May\, at which point we will invite people to submit extended abstracts.&nbsp\;</p>
ORGANIZER;CN=Kate Vredenburgh;CN=Thomas Grote;CN=Tom F. Sterkenburg;CN=Timo Freiesleben:
METHOD:PUBLISH
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260628T011929Z
DTSTART;TZID=Europe/Berlin:20270114T090000
DTEND;TZID=Europe/Berlin:20270115T170000
SUMMARY:9th Workshop in Political Philosophy
UID:20260628T115523Z-iCalPlugin-Grails@philevents-web-bd7db559-gt5qm
TZID:Europe/Berlin
LOCATION:Munich\, Germany
ORGANIZER;CN=Fabian Wendt;CN=Laura Valentini;CN=David P. Schweikard:
METHOD:PUBLISH
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