NanoEthics 16 (1):35-49 (2022)
Abstract |
This Discussion Note calls for attention to the cultural practices of Neural Engineering as part of the life sciences as practices and technologies of manufacturing life. Through focusing on Disability, Ableism, and especially Technoableism within the field, I point out instances of onto-epistemological violence, which influence the likelihood of survival of disabled people individually and as a group. By drawing on Crip Technoscience, a method assemblage is introduced that allows to address these issues in an intersectional-kyriarchal understanding of interlocking systems of privilege and oppression through generative critique and productive collaborative work. Criptical Neural Engineering is dedicated to disability justice and disability gain. It centers disabled people as epistemic activists and demands response-ability and accountability from non-disabled people, specifically engineers that want to build adaptive technologies with disabled people.
|
Keywords | No keywords specified (fix it) |
Categories | (categorize this paper) |
ISBN(s) | |
DOI | 10.1007/s11569-021-00405-8 |
Options |
![]() ![]() ![]() |
Download options
References found in this work BETA
Meeting the Universe Halfway: Quantum Physics and the Entanglement of Matter and Meaning.Karen Barad - 2007 - Duke University Press.
Posthumanist Performativity : Toward an Understanding of How Matter Comes to Matter.Karen Barad - 2006 - In Deborah Orr (ed.), Belief, Bodies, and Being: Feminist Reflections on Embodiment. Rowman & Littlefield Publishers.
View all 11 references / Add more references
Citations of this work BETA
No citations found.
Similar books and articles
Artificial Neural Networks and Fuzzy Neural Networks for Solving Civil Engineering Problems.Milos Knezevic, Meri Cvetkovska, Tomáš Hanák, Luis Braganca & Andrej Soltesz - 2018 - Complexity 2018:1-2.
Connecting Biological Detail With Neural Computation: Application to the Cerebellar Granule–Golgi Microcircuit.Andreas Stöckel, Terrence C. Stewart & Chris Eliasmith - 2021 - Topics in Cognitive Science 13 (3):515-533.
The AHA! Experience: Creativity Through Emergent Binding in Neural Networks.Paul Thagard & Terrence C. Stewart - 2011 - Cognitive Science 35 (1):1-33.
Some Neural Networks Compute, Others Don't.Gualtiero Piccinini - 2008 - Neural Networks 21 (2-3):311-321.
How to Build a Brain: From Function to Implementation.Chris Eliasmith - 2006 - Synthese 153 (3):373-388.
Tic-Tac-Toe Learning Using Artificial Neural Networks.Mohaned Abu Dalffa, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2019 - International Journal of Engineering and Information Systems (IJEAIS) 3 (2):9-19.
Neurosurgical Implants: Clinical Protocol Considerations.Paul J. Ford - 2007 - Cambridge Quarterly of Healthcare Ethics 16 (3):308-311.
Neural correlates without reduction: the case of the critical period.Muhammad Ali Khalidi - 2020 - Synthese 197 (5):1-13.
On Stability and Solvability (or, When Does a Neural Network Solve a Problem?).Stan Franklin & Max Garzon - 1992 - Minds and Machines 2 (1):71-83.
Neural Engineering.B. Gordijn & A. M. Buyx - 2010 - In James J. Giordano & Bert Gordijn (eds.), Scientific and Philosophical Perspectives in Neuroethics. Cambridge University Press.
Neural Code: Another Breach in the Wall?Chloé Huetz, Samira Souffi, Victor Adenis & Jean-Marc Edeline - 2019 - Behavioral and Brain Sciences 42.
Dynamical Learning Algorithms for Neural Networks and Neural Constructivism.Enrico Blanzieri - 1997 - Behavioral and Brain Sciences 20 (4):559-559.
How to Build a Brain: From Function to Implementation.Chris Eliasmith - 2007 - Synthese 159 (3):373-388.
Analytics
Added to PP index
2022-02-18
Total views
4 ( #1,277,804 of 2,506,010 )
Recent downloads (6 months)
4 ( #170,037 of 2,506,010 )
2022-02-18
Total views
4 ( #1,277,804 of 2,506,010 )
Recent downloads (6 months)
4 ( #170,037 of 2,506,010 )
How can I increase my downloads?
Downloads