[SIGCIS-Members] Call for Papers "Entangling Mind and Machine: Artificial Intelligence, Neuroscience and Neurotechnology" at EASST-4S 2024 Amsterdam

[Christine Aicardi]

Dear SIGCIS members,

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:

Entangling Mind and Machine: Artificial Intelligence, Neuroscience and Neurotechnology

Short Abstract:
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?

Long Abstract:
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?

If you are interested, please submit your abstract by 12 February 2024 here<https://www.easst4s2024.net/callforabstracts/>

Christine Aicardi & Tara Mahfoud

_______________________________________________________

Christine Aicardi<https://kclpure.kcl.ac.uk/portal/christine.aicardi.html>

Senior Research Fellow in Science & Technology Studies



Responsible Research and Innovation Lead | UKRI Centre for Doctoral Training in Safe & Trusted AI

Department of Informatics | King’s College London

https://safeandtrustedai.org/



Responsible Research and Innovation Lead | EPSRC Centre for Doctoral Training in Smart Medical Imaging

School of Biomedical Engineering & Imaging Sciences| King’s College London

https://www.imagingcdt.com/
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