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<span lang="EN-GB" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">We are delighted to invite you to our upcoming lecture series, Philosophy of science and Machine Learning.</span><span lang="EN-GB"><o:p></o:p></span></p>
<p style="mso-margin-top-alt:12.0pt;margin-right:0cm;margin-bottom:12.0pt;margin-left:0cm">
<b><span lang="EN-GB" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">Lecture Series Overview:</span></b><span lang="EN-GB" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black"> In an age where artificial intelligence (AI)
is transforming science, it becomes increasingly important to reflect critically on the foundations, methodologies, and implications of these advancements. This lecture series will investigate fundamental issues in AI from the vantage point of philosophy of
science, which includes topics such as the transparency and interpretability of AI within scientific research, as well as the impact of AI on scientific understanding and explanation. </span><span lang="EN-GB"><o:p></o:p></span></p>
<p style="mso-margin-top-alt:12.0pt;margin-right:0cm;margin-bottom:12.0pt;margin-left:0cm">
<span lang="EN-GB" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">More information:
</span><a href="https://udnn.tu-dortmund.de/index.php/activities/lecture-series-philosophy-of-science-and-machine-learning/"><span lang="EN-GB" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#1155CC">https://udnn.tu-dortmund.de/index.php/activities/lecture-series-philosophy-of-science-and-machine-learning/</span></a><span lang="EN-GB" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black"> </span><span lang="EN-GB"><o:p></o:p></span></p>
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<b><span lang="EN-GB" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">Upcoming Talk:</span></b><span lang="EN-GB" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black"> We are excited to announce the next talk in the series:</span><span lang="EN-GB"><o:p></o:p></span></p>
<p style="mso-margin-top-alt:12.0pt;margin-right:0cm;margin-bottom:12.0pt;margin-left:0cm">
<b><span lang="EN-GB" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">Title:</span></b><span lang="EN-GB" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black"> The impact of epistemic dependance on AI for understanding<br>
<b>Speaker:</b> Stefan Buijsman, TU Delft <br>
<b>Date & Time:</b> December 12th, 2024, 4:15 PM CET<br>
<b>Location:</b> TU Dortmund University</span><span lang="EN-GB"><o:p></o:p></span></p>
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<b><span lang="EN-GB" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">Talk Abstract:<br>
</span></b><span lang="EN-GB" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">The introduction of AI into our knowledge-gathering practices and decision making often means that we also become (somewhat) epistemically dependent on these systems.
We rely on them to make it easier for us to know and understand phenomena. This can be highly beneficial, similar to how we use instruments in a lot of settings to more easily acquire knowledge and understanding. The specific nature of AI, primarily its opacity
and often unexpected lapses in reliability, pose challenges however to beneficial epistemic dependence. In this talk I go over risks to our competence and responsibility as we increase our epistemic dependence on AI, and offer some suggestions on how we might
deal with those.</span><span lang="EN-GB"><o:p></o:p></span></p>
<p style="mso-margin-top-alt:12.0pt;margin-right:0cm;margin-bottom:12.0pt;margin-left:0cm">
<b><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">How to Attend:</span></b><o:p></o:p></p>
<ul style="margin-top:0cm;padding-inline-start:48px" type="disc">
<li style="color:black;margin-top:12.0pt;margin-bottom:0cm;mso-list:l0 level1 lfo1;vertical-align:baseline">
<b><span lang="EN-GB" style="font-size:12.0pt;font-family:"Arial",sans-serif">In-Person:
</span></b><span lang="EN-GB" style="font-size:12.0pt;font-family:"Arial",sans-serif">Please send an e-mail to
</span><span style="font-size:12.0pt;font-family:"Arial",sans-serif"><a href="mailto:udnn.ht@tu-dortmund.de"><span lang="EN-GB" style="color:#1155CC">udnn.ht@tu-dortmund.de</span></a></span><span lang="EN-GB" style="font-size:12.0pt;font-family:"Arial",sans-serif">.
If you would like to join us for dinner afterwards, please let us know so we can make a reservation.<b><br>
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</b><o:p></o:p></span></li><li style="color:black;margin-top:0cm;margin-bottom:12.0pt;mso-list:l0 level1 lfo1;vertical-align:baseline">
<b><span lang="EN-GB" style="font-size:12.0pt;font-family:"Arial",sans-serif">Online:
</span></b><span lang="EN-GB" style="font-size:12.0pt;font-family:"Arial",sans-serif">Please register via the following form:</span><span style="font-size:12.0pt;font-family:"Arial",sans-serif"><a href="https://forms.microsoft.com/r/W3whw0ac3B"><span style="color:black">
</span><span lang="EN-GB" style="color:#1155CC">https://forms.microsoft.com/r/W3whw0ac3B</span></a></span><span lang="EN-GB" style="font-size:12.0pt;font-family:"Arial",sans-serif">. We will send you a Zoom link before the talk.<b><br>
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</b><o:p></o:p></span></li></ul>
<p style="mso-margin-top-alt:12.0pt;margin-right:0cm;margin-bottom:12.0pt;margin-left:0cm">
<span lang="EN-GB" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">We look forward to your participation and insightful discussions.</span><span lang="EN-GB"><o:p></o:p></span></p>
<p style="mso-margin-top-alt:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm">
<span lang="EN-GB" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">This lecture series is a special edition of the AI Colloquium at TU Dortmund University, co-organized by the Lamarr Institute for Machine Learning and Artificial Intelligence,
the Research Center Trustworthy Data Science and Security (RC Trust), and the Center for Data Science & Simulation at TU Dortmund University (DoDas). The Lecture Series is organized by the Emmy Noether Group "UDNN: Scientific Understanding and Deep Neural
Networks” (</span><a href="https://udnn.tu-dortmund.de/"><span lang="EN-GB" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#1155CC">https://udnn.tu-dortmund.de/</span></a><span lang="EN-GB" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">) </span><span lang="EN-GB"><o:p></o:p></span></p>
<p style="mso-margin-top-alt:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm">
<span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">Kind regards,</span><o:p></o:p></p>
<p style="mso-margin-top-alt:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm">
<span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">The UDNN team</span><o:p></o:p></p>
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