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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"> Social interaction with artificial agents: when, how, why? Perspective
taking and social scripts in HRI and interaction with AI<br>
<b>Speaker:</b> Dr. Leda Berio, Ruhr-University Bochum <br>
<b>Date & Time:</b> November 28th, 2024, 4:15 PM CET<br>
<b>Location:</b> TU Dortmund University</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">Please note that the talk by Tim Räz, originally planned for this date, was canceled.</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">When a robotic dog wags its tail, we do not hesitate to interpret it as a sign of happiness. We get upset when seeing little robot dinosaurs, barely more than
sophisticated toys, mistreated. We hesitate to strike little bug-like robotic objects. Evidence shows, in other words, that our interactions with robots are laden with affect; and this is despite our full awareness that robots do not, ultimately, feel. What
are the factors that influence these attributions? What aspects of design can influence the way we interact with artificial agents? I ague that considering interactions with artificial agents in terms of emotionally-loaded scripts can contribute to explaining
our attribution of emotional states to social robots as well as our emotional reactions during interactions with them. Moreover, it helps us identify the normative components of such interactions. In this talk, I first explore the ways design features influence
basic mechanisms of spontaneous perspective taking with social robots, presenting data that shows how visual appearance modulates these effects. Next, I propose that to explain more sophisticated mental state attribution, we should consider social interactions
as activating scripts and schemata (Bicchieri and McNally, 2018) that come with expectations on how agents should behave and feel. Scripts contain information about expected emotional reactions, and their activation prescribe the interpretation of emotions
in normative ways, as well as emotional attributions. In this sense, I suggest, when interacting with social robots, our behaviors and emotions, as well as our attributions, are highly normatively regulated. To conclude, I discuss how basic design features
relate to the activation of scripts.</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>
<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-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>
<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-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>
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<span lang="EN-GB" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">Kind regards,</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">The UDNN team</span><span lang="EN-GB"><o:p></o:p></span></p>
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