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Dear SIGCIS members,</div>
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<br>
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<div class="elementToProof" style="direction: ltr;"><span style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">Hoping that this may be of interest to some of you, we invite
you to submit an abstract to our panel at the EASST-4S [The 2024 quadrennial joint meeting of the European Association for the Study of Science and Technology (EASST) and the Society for Social Studies of Science (4S)] held in Amsterdam July 16-19, 2024:</span></div>
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<div style="direction: ltr;"><span style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);"><b>Entangling Mind and Machine: Artificial Intelligence, Neuroscience and Neurotechnology</b></span></div>
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<div style="direction: ltr;"><span style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);"><u>Short Abstract:</u></span></div>
<div style="direction: ltr;"><span style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">In this panel, we seek to address two questions: 1) What can previous iterations of
entangling mind and machine tell us about contemporary AI, neuroscience and neurotechnology? 2) How are current entanglements different, and what do they mean for future AI, neuroscience and neurotechnology?</span></div>
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<div style="direction: ltr;"><span style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);"><u>Long Abstract:</u></span></div>
<div style="direction: ltr;"><span style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">The history of neuroscience is one intertwined with the history of building computational
systems and machinic brains/minds – from Alan Turing’s thinking machines, to cybernetic brains, and more recently, the use of experimental and theoretical neuroscience in the development of Google DeepMind’s Artificial Intelligence (AI) techniques. Brains
and minds have been, and continue to be, a source of inspiration for AI. Artificial neural networks at the core of recent AI developments are inspired by biological neural networks in animal brains, and new brain-inspired neuromorphic hardware architectures
are designed to support them. Biological realism, however, is not the primary concern of AI. It takes inspiration from biology only in order to build more efficient AI tools - improving information processing performance for a vast range of activities, and
lowering energy consumption. In this panel, we seek to address two overarching questions: 1) What can previous iterations of entangling mind and machine tell us about contemporary AI, neuroscience and neurotechnology? 2) How are current entanglements between
mind and machines different, and what do they mean for future AI, neuroscience and neurotechnology? We invite contributions that will help tackle these topics from various perspectives and various locations, taking diachronic as well as synchronic approaches.
Possible questions are: What are the epistemic, political, social and ethical consequences of these entanglements? What epistemic communities and institutions (military, corporate, etc.) are established around these different practices and around different
conceptions of intelligence – human, animal, more-than-human? What kinds and what aspects of living organisms are brought up in simulation, mimicry or machinic reproduction of ‘intelligence’? How are they pared down, distorted – or rendered invisible?</span></div>
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If you are interested, please submit your abstract by 12 February 2024 <a href="https://www.easst4s2024.net/callforabstracts/" id="OWA4bb6a8da-2821-aba4-128a-05f93484f708" class="x_x_x_OWAAutoLink" title="https://www.easst4s2024.net/callforabstracts/" shash="V3kzrkbxLFNSj7GcDGMfy2TSoQGI+vxh6AZH2aX2ye9hG9t9JrHf/0dluf2bIne+qiOM0Jn5KNU7jwHZXXo3sngoQDw5wYoRJnfXtJZFIW3b/Uoxw9Vk4oUKb3sMaRngu8UJygDkrSXRo3oO35pozPKu4yhiN7zu7N1QhTtjifE=" originalsrc="https://www.easst4s2024.net/callforabstracts/" data-auth="Verified" data-loopstyle="linkonly">
here</a></span></div>
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Christine Aicardi & Tara Mahfoud</div>
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<span style="font-family: Calibri, sans-serif; font-size: 11pt; color: rgb(47, 84, 150);">_______________________________________________________</span></div>
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<span style="font-family: "Calibri Light", sans-serif; font-size: 10pt; color: rgb(23, 78, 134);"><b><a href="https://kclpure.kcl.ac.uk/portal/christine.aicardi.html" id="OWA8e8c9bb2-0806-3095-f372-06289c33e230" class="x_x_x_x_OWAAutoLink" title="https://kclpure.kcl.ac.uk/portal/christine.aicardi.html" shash="dmqcqhbUaR+KdkN3CNP5pfcnpOXRZuVduzc9UhjWMli4dYIbHMiiYEL1ebNW29guOKTa2VJk2awr8rw7htFnG1d3nXWlfiW0fx7dyxxFYKt/Nn7YMe709ATIj7v4kvicPRV6WJKLBF2z4tli5bj++2llZhTgMHwyruz4tvF7QSU=" originalsrc="https://kclpure.kcl.ac.uk/portal/christine.aicardi.html" data-auth="Verified" data-loopstyle="linkonly" style="text-decoration: none; margin-top: 0px; margin-bottom: 0px; color: rgb(23, 78, 134);">Christine
Aicardi</a></b></span></p>
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<span style="font-family: "Calibri Light", sans-serif; font-size: 10pt; color: rgb(47, 84, 150);">Senior Research Fellow in Science & Technology Studies</span></p>
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<span style="font-family: "Calibri Light", sans-serif; font-size: 10pt; color: rgb(47, 84, 150);"> </span></p>
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<span style="font-family: "Calibri Light", sans-serif; font-size: 10pt; color: rgb(47, 84, 150);">Responsible Research and Innovation Lead | UKRI Centre for Doctoral Training in Safe & Trusted AI</span></p>
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<span style="font-family: "Calibri Light", sans-serif; font-size: 10pt; color: rgb(47, 84, 150);"><b>Department of Informatics | King’s College London</b></span></p>
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<span style="font-family: "Calibri Light", "Helvetica Light", sans-serif; font-size: 10pt;"><a href="https://safeandtrustedai.org/" id="OWAd8b7d549-c07c-0848-040a-b8dd4c7bbd88" class="x_x_x_x_OWAAutoLink" shash="MHA3ZdhtOI18e9pP6NrY/U72Ry3FvFI9nQDgBwq1GFWvrzgJMnDf/3B+8aHpAUW3danayLJq32aNbJDU5QNE465VeIFqiw65/GnldlR+cvtjt6RjAqpkD9tYutdYDJOwAGFxkLWdqsNkqgx93MPLoz24A5WcHL0BuEhHU1yiK1w=" originalsrc="https://safeandtrustedai.org/" data-auth="Verified" data-loopstyle="linkonly">https://safeandtrustedai.org/</a></span></div>
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<span style="font-family: "Calibri Light", sans-serif; font-size: 10pt; color: rgb(47, 84, 150);"> </span></p>
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<span style="font-family: "Calibri Light", sans-serif; font-size: 10pt; color: rgb(47, 84, 150);">Responsible Research and Innovation Lead | EPSRC Centre for Doctoral Training in Smart Medical Imaging</span></p>
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<span style="font-family: "Calibri Light", sans-serif; font-size: 10pt; color: rgb(47, 84, 150);"><b>School of Biomedical Engineering & Imaging Sciences| King’s College London</b></span></p>
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<span style="font-family: "Calibri Light", sans-serif; font-size: 10pt;"><a href="https://www.imagingcdt.com/" id="OWA90c071b7-cba7-9f11-0593-6428001a3251" class="x_x_x_x_OWAAutoLink" shash="eRbnwOneEbN21snvNamv+wfVmVoV6mdb8qdymgCu1AuWMIbkIEa8E8OMqr57W0lT9+R0LP/pDwCI41sn2b1XbWU7RNYmWbe6zS3yqWstuKgxuQN0k6/NK/tB4NSt6N8LI0i3VDcJRqbr34U1pzGKAIb69eGAp6Z3OJEPD9IKHr8=" originalsrc="https://www.imagingcdt.com/" data-auth="Verified" data-loopstyle="linkonly" style="margin-top: 0px; margin-bottom: 0px;">https://www.imagingcdt.com/</a></span></p>
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