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		<title>Upcoming Events</title>
		<link>https://mcml.ai/events/</link>
		<description>Recent content Upcoming Events</description>
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		<managingEditor>contact@mcml.ai  (Munich Center for Machine Learning)</managingEditor>
		<webMaster>contact@mcml.ai (Munich Center for Machine Learning)</webMaster><copyright>Munich Center for Machine Learning | ©2024 | All rights reserved.</copyright>
		<lastBuildDate>Wed, 01 Jul 2026 15:00:04 +0200</lastBuildDate>
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			<pubDate>Mon, 12 Jan 2026 09:00:00 +0200</pubDate>
			<title>Certificate Course on Responsible AI - Part 4</title>
			<link>https://mcml.ai/events/2026-11-27-certificate-course-responsible-ai/</link>
			<guid>https://mcml.ai/events/2026-11-27-certificate-course-responsible-ai/</guid>
			<description>Preliminary announcement of the Responsible AI Certificate Course 2026, a joint online program by the German National AI Centers. Details to follow.</description>
			<content:encoded>
				<![CDATA[ 				
				<img src="https://mcml.ai/images/events/certificate-course-responsible-ai.webp" width="300" height="200" alt="Certificate Course on Responsible AI - Part 4">
				<br /><br />
				<strong>Organized by the German National AI Centers</strong><br />
				Certificate Course<br>
				<strong>27.11.2026, 9:00 am - 2:30 pm</strong><br />
				Online<br />
				&lt;p&gt;The course is organized by the AI competence centers in Germany (BIFOLD, DfKI, Lamarr, MCML, ScaDS.AI and Tübingen AI Center). Researchers from several disciplines will work in pairs during four different thematic days to provide insight into cutting-edge AI research, highlighting their diverse perspectives on Responsible AI. Together, they paint a diverse and multifaceted picture that opens up space for independent thinking and collaborative discussion among teachers and learners. The course does not aim to provide a comprehensive catalog of knowledge on Responsible AI, but rather to foster the development of critical thinking and judgment skills with high expertise that enable independent further reflection.&lt;/p&gt;
				<a href="https://mcml.ai/events/2026-11-27-certificate-course-responsible-ai/">Goto event</a>
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		<item>
			<pubDate>Mon, 12 Jan 2026 09:00:00 +0200</pubDate>
			<title>Certificate Course on Responsible AI - Part 3</title>
			<link>https://mcml.ai/events/2026-11-20-certificate-course-responsible-ai/</link>
			<guid>https://mcml.ai/events/2026-11-20-certificate-course-responsible-ai/</guid>
			<description>Preliminary announcement of the Responsible AI Certificate Course 2026, a joint online program by the German National AI Centers. Details to follow.</description>
			<content:encoded>
				<![CDATA[ 				
				<img src="https://mcml.ai/images/events/certificate-course-responsible-ai.webp" width="300" height="200" alt="Certificate Course on Responsible AI - Part 3">
				<br /><br />
				<strong>Organized by the German National AI Centers</strong><br />
				Certificate Course<br>
				<strong>20.11.2026, 9:00 am - 2:30 pm</strong><br />
				Online<br />
				&lt;p&gt;The course is organized by the AI competence centers in Germany (BIFOLD, DfKI, Lamarr, MCML, ScaDS.AI and Tübingen AI Center). Researchers from several disciplines will work in pairs during four different thematic days to provide insight into cutting-edge AI research, highlighting their diverse perspectives on Responsible AI. Together, they paint a diverse and multifaceted picture that opens up space for independent thinking and collaborative discussion among teachers and learners. The course does not aim to provide a comprehensive catalog of knowledge on Responsible AI, but rather to foster the development of critical thinking and judgment skills with high expertise that enable independent further reflection.&lt;/p&gt;
				<a href="https://mcml.ai/events/2026-11-20-certificate-course-responsible-ai/">Goto event</a>
				]]>
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		<item>
			<pubDate>Mon, 12 Jan 2026 09:00:00 +0200</pubDate>
			<title>Certificate Course on Responsible AI - Part 2</title>
			<link>https://mcml.ai/events/2026-11-13-certificate-course-responsible-ai/</link>
			<guid>https://mcml.ai/events/2026-11-13-certificate-course-responsible-ai/</guid>
			<description>Preliminary announcement of the Responsible AI Certificate Course 2026, a joint online program by the German National AI Centers. Details to follow.</description>
			<content:encoded>
				<![CDATA[ 				
				<img src="https://mcml.ai/images/events/certificate-course-responsible-ai.webp" width="300" height="200" alt="Certificate Course on Responsible AI - Part 2">
				<br /><br />
				<strong>Organized by the German National AI Centers</strong><br />
				Certificate Course<br>
				<strong>13.11.2026, 9:00 am - 2:30 pm</strong><br />
				Online<br />
				&lt;p&gt;The course is organized by the AI competence centers in Germany (BIFOLD, DfKI, Lamarr, MCML, ScaDS.AI and Tübingen AI Center). Researchers from several disciplines will work in pairs during four different thematic days to provide insight into cutting-edge AI research, highlighting their diverse perspectives on Responsible AI. Together, they paint a diverse and multifaceted picture that opens up space for independent thinking and collaborative discussion among teachers and learners. The course does not aim to provide a comprehensive catalog of knowledge on Responsible AI, but rather to foster the development of critical thinking and judgment skills with high expertise that enable independent further reflection.&lt;/p&gt;
				<a href="https://mcml.ai/events/2026-11-13-certificate-course-responsible-ai/">Goto event</a>
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		<item>
			<pubDate>Mon, 12 Jan 2026 09:00:00 +0200</pubDate>
			<title>Certificate Course on Responsible AI - Part 1</title>
			<link>https://mcml.ai/events/2026-11-06-certificate-course-responsible-ai/</link>
			<guid>https://mcml.ai/events/2026-11-06-certificate-course-responsible-ai/</guid>
			<description>Preliminary announcement of the Responsible AI Certificate Course 2026, a joint online program by the German National AI Centers. Details to follow.</description>
			<content:encoded>
				<![CDATA[ 				
				<img src="https://mcml.ai/images/events/certificate-course-responsible-ai.webp" width="300" height="200" alt="Certificate Course on Responsible AI - Part 1">
				<br /><br />
				<strong>Organized by the German National AI Centers</strong><br />
				Certificate Course<br>
				<strong>06.11.2026, 9:00 am - 2:30 pm</strong><br />
				Online<br />
				&lt;p&gt;The course is organized by the AI competence centers in Germany (BIFOLD, DfKI, Lamarr, MCML, ScaDS.AI and Tübingen AI Center). Researchers from several disciplines will work in pairs during four different thematic days to provide insight into cutting-edge AI research, highlighting their diverse perspectives on Responsible AI. Together, they paint a diverse and multifaceted picture that opens up space for independent thinking and collaborative discussion among teachers and learners. The course does not aim to provide a comprehensive catalog of knowledge on Responsible AI, but rather to foster the development of critical thinking and judgment skills with high expertise that enable independent further reflection.&lt;/p&gt;
				<a href="https://mcml.ai/events/2026-11-06-certificate-course-responsible-ai/">Goto event</a>
				]]>
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		<item>
			<pubDate>Thu, 07 May 2026 12:00:00 +0200</pubDate>
			<title>ACM EAAMO 2026</title>
			<link>https://mcml.ai/events/2026-11-05-acm-eaamo-2026/</link>
			<guid>https://mcml.ai/events/2026-11-05-acm-eaamo-2026/</guid>
			<description>ACM EAAMO 2026 brings together interdisciplinary research on equitable and socially beneficial algorithmic systems.</description>
			<content:encoded>
				<![CDATA[ 				
				<img src="https://mcml.ai/images/conferences/eaamo-conference-2026.webp" width="300" height="200" alt="ACM EAAMO 2026">
				<br /><br />
				<strong>Conference on Equity and Access in Algorithms, Mechanisms, and Optimization</strong><br />
				Conference<br>
				<strong>05.11.2026 - 07.11.2026</strong><br />
				LMU Munich (Main Building)<br />
				&lt;p&gt;The event will highlight work across the research-to-practice pipeline that aims to ensure algorithmic systems play a broadly beneficial role in society, advancing equity and expanding access to opportunity for underserved communities. &lt;/p&gt;&lt;p&gt;We invite submissions that draw on techniques from artificial intelligence and machine learning, mechanism design, optimization, operations, and economics, as well as perspectives from human-computer interaction and the social sciences that examine the societal embedding of these technologies. &lt;/p&gt;&lt;p&gt;The conference will provide an inter-disciplinary forum for presenting research papers, problem pitches, survey and position papers, new datasets, and software demonstrations with the goal of bridging research and practice.&lt;br /&gt;&lt;br /&gt;The conference is co-organized by MCML PI &lt;a href=&#34;https://mcml.ai/research/groups/kern/&#34;&gt;Christoph Kern&lt;/a&gt;.&lt;/p&gt;
				<a href="https://mcml.ai/events/2026-11-05-acm-eaamo-2026/">Goto event</a>
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		<item>
			<pubDate>Mon, 29 Jun 2026 09:00:00 +0200</pubDate>
			<title>ASMUS 2026 – MICCAI Workshop on Medical Ultrasound</title>
			<link>https://mcml.ai/events/2026-10-01-miccai-workshop-on-medical-ultrasound/</link>
			<guid>https://mcml.ai/events/2026-10-01-miccai-workshop-on-medical-ultrasound/</guid>
			<description>ASMUS 2026, the main MICCAI Workshop on Medical Ultrasound, will take place in Strasbourg, France, on October 1, 2026.</description>
			<content:encoded>
				<![CDATA[ 				
				<img src="https://mcml.ai/images/events/2026-10-01-miccai-workshop-on-medical-ultrasound.webp" width="300" height="200" alt="ASMUS 2026 – MICCAI Workshop on Medical Ultrasound">
				<br /><br />
				<strong>Dr. Oliver Zettinig, ImFusion&lt;br&gt;</strong><br />
				Workshop<br>
				<strong>01.10.2026</strong><br />
				Strasbourg, France<br />
				&lt;p&gt;ASMUS 2026, the main MICCAI Workshop on Medical Ultrasound, will take place in Strasbourg, France, on October 1, 2026.&lt;/p&gt;&lt;p&gt;The workshop welcomes submissions on AI-assisted ultrasound, robotics, ultrasound foundation models, multimodal imaging, point-of-care systems, low-resource healthcare, and surgical/interventional guidance.&lt;/p&gt;&lt;p&gt;Accepted papers will appear in the Springer LNCS proceedings.&lt;/p&gt;
				<a href="https://mcml.ai/events/2026-10-01-miccai-workshop-on-medical-ultrasound/">Goto event</a>
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		<item>
			<pubDate>Fri, 26 Jun 2026 12:00:00 +0200</pubDate>
			<title>ELLIS Summer School on Machine Learning &amp; Computer Vision 2026</title>
			<link>https://mcml.ai/events/2026-09-15-ellis-summer-school/</link>
			<guid>https://mcml.ai/events/2026-09-15-ellis-summer-school/</guid>
			<description>ELLIS Summer School on Machine Learning &amp; Computer Vision 2026, taking place from September 15 to 18, 2026, at the TUM Garching Campus.</description>
			<content:encoded>
				<![CDATA[ 				
				<img src="https://mcml.ai/images/events/2026-09-15-ellis-summer-school.webp" width="300" height="200" alt="ELLIS Summer School on Machine Learning &amp; Computer Vision 2026">
				<br /><br />
				<strong>A Four-Day Program for Early-Career Researchers</strong><br />
				Workshop<br>
				<strong>15.09.2026 - 18.09.2026</strong><br />
				TUM Garching Campus, Munich<br />
				&lt;p&gt;The ELLIS Unit Munich invites applications for the ELLIS Summer School on Machine Learning &amp;amp; Computer Vision 2026, taking place from September 15 to 18, 2026, at the TUM Garching Campus.&lt;/p&gt;
				<a href="https://mcml.ai/events/2026-09-15-ellis-summer-school/">Goto event</a>
				]]>
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		<item>
			<pubDate>Thu, 18 Jun 2026 16:00:00 +0200</pubDate>
			<title>5th MCML Workshop on Causal Machine Learning</title>
			<link>https://mcml.ai/events/2026-08-13-workshop-casual-ml/</link>
			<guid>https://mcml.ai/events/2026-08-13-workshop-casual-ml/</guid>
			<description>Join us at the 5th MCML Workshop on Causal Machine Learning.</description>
			<content:encoded>
				<![CDATA[ 				
				<img src="https://mcml.ai/images/events/NEU_Sponsoring-Workshop%20Asset-3.webp" width="300" height="200" alt="5th MCML Workshop on Causal Machine Learning">
				<br /><br />
				<strong>Organized by Our PI Stefan Feuerriegel and His Team</strong><br />
				Workshop<br>
				<strong>13.08.2026, 11:00 am - 8:00 pm</strong><br />
				Professor-Huber-Platz 2, W201 (LMU Munich)<br />
				&lt;p&gt;Causal inference has become highly important in many fields, such as medicine or marketing, and has received increasing attention from researchers in machine learning in recent years. The MCML Workshop in Causal Machine Learning invites causal ML researchers to present their work. The workshop aims to bring together researchers from different fields to discuss possible interconnections between their work and foster future collaborations.&lt;/p&gt;
				<a href="https://mcml.ai/events/2026-08-13-workshop-casual-ml/">Goto event</a>
				]]>
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