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<span lang="EN-US" style="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-US"><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-US" style="font-family:"Arial",sans-serif;color:black">Lecture Series Overview:</span></b><span lang="EN-US" style="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-US"><o:p></o:p></span></p>
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<span lang="EN-US" style="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-US" style="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-US" style="font-family:"Arial",sans-serif;color:black"> </span><span lang="EN-US"><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-US" style="font-family:"Arial",sans-serif;color:black">Upcoming Talk:</span></b><span lang="EN-US" style="font-family:"Arial",sans-serif;color:black"> We are excited to announce the next talk in the series:</span><span lang="EN-US"><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-US" style="font-family:"Arial",sans-serif;color:black">Title:</span></b><span lang="EN-US" style="font-family:"Arial",sans-serif;color:black"> AI in Tension Between Cognitive Science and Society<br>
<b>Speaker:</b> Nina Poth, Radboud University <br>
<b>Date & Time:</b> January, 23, 2025, 4:15 PM CET<br>
<b>Location:</b> TU Dortmund University</span><span lang="EN-US"><o:p></o:p></span></p>
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<b><span lang="EN-US" style="font-family:"Arial",sans-serif;color:black">Talk Abstract:<br>
</span></b><span lang="EN-US" style="font-family:"Arial",sans-serif;color:black">In this talk, I examine the dual role of AI in both cognitive science and society. On one hand, significant ethical and theoretical concerns that call for caution in overstating
the similarities between human-like intelligence and cutting-edge AI systems widely used today (such as AlexNet, GPT-4, etc.). On the other hand, cognitive scientists and philosophers view such deep neural networks as valuable tools for modelling and gaining
insights into the human mind. These two perspectives stand in tension with one another that calls for a re-examination of the role of AI in cognitive science. While there are promising exploratory successes in specific domains such as perceptual categorisation,
the contributions of deep neural networks to advancing our understanding of cognition are less revolutionary than often claimed and better put as a continuation of earlier revisions to computationalism, posing the worry that relative to the immense resources
going in to building these models, the payoffs from theory lag significantly behind.</span><span lang="EN-US"><o:p></o:p></span></p>
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<b><span lang="EN-US" style="font-family:"Arial",sans-serif;color:black">How to Attend:</span></b><span lang="EN-US"><o:p></o:p></span></p>
<ul style="margin-top:0cm" 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-US" style="font-family:"Arial",sans-serif">In-Person: </span></b><span lang="EN-US" style="font-family:"Arial",sans-serif">Please send an e-mail to
</span><span style="color:windowtext"><a href="mailto:udnn.ht@tu-dortmund.de"><span lang="EN-US" style="font-family:"Arial",sans-serif;color:#1155CC">udnn.ht@tu-dortmund.de</span></a></span><span lang="EN-US" style="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>
<br>
<br>
</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-US" style="font-family:"Arial",sans-serif">Online: </span></b><span lang="EN-US" style="font-family:"Arial",sans-serif">Please register via the following form:</span><span style="color:windowtext"><a href="https://forms.microsoft.com/r/W3whw0ac3B"><span style="font-family:"Arial",sans-serif;color:black">
</span><span lang="EN-US" style="font-family:"Arial",sans-serif;color:#1155CC">https://forms.microsoft.com/r/W3whw0ac3B</span></a></span><span lang="EN-US" style="font-family:"Arial",sans-serif">. We will send you a Zoom link before the talk.<b><br>
<br>
</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-US" style="font-family:"Arial",sans-serif;color:black">We look forward to your participation and insightful discussions.</span><span lang="EN-US"><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-US" style="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-US" style="font-family:"Arial",sans-serif;color:#1155CC">https://udnn.tu-dortmund.de/</span></a><span lang="EN-US" style="font-family:"Arial",sans-serif;color:black">) </span><span lang="EN-US"><o:p></o:p></span></p>
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<span lang="EN-US" style="font-family:"Arial",sans-serif;color:black">Kind regards,</span><span lang="EN-US"><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-US" style="font-family:"Arial",sans-serif;color:black">The UDNN team</span><span lang="EN-US"><o:p></o:p></span></p>
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