TY - JOUR
T1 - Limits of Neural Computation in Humans and Machines
AU - Taraban, Roman
N1 - Funding Information:
This work was supported in part by a grant from the Texas Tech University Center for Global Communication. Thanks to John Draeger, Lauren Scharff, and Lindsay Taraban for comments on an earlier draft of this commentary.
Publisher Copyright:
© 2020, Springer Nature B.V.
PY - 2020/10/1
Y1 - 2020/10/1
N2 - Aicardi et al. (Ethical and social aspects of neurorobotics, Science and Engineering Ethics, 2020) look to neuroscience to mitigate the limitations of current robotics technology. They propose that robotics technology guided by neuroscience has the capacity to create intelligent robots that function with awareness and capacity for abstraction and reasoning. As neurorobotics extends the capability of robotics technology, it introduces new social and ethical concerns, in particular co-opting civilian applications for military use (dual-use), conflicts between industry and the academy (industry-academy partnerships), and data security (data governance). However, here we argue that empirical evidence has shown that human cognition is faulty; therefore there is not a clear motivation to build intelligent robots on a human model; representation of meaning in the brain is not well-understood; therefore neuro-robotics is limited; and to the extent that intelligent robots become a reality, the ethics of robot rights will be of central concern.
AB - Aicardi et al. (Ethical and social aspects of neurorobotics, Science and Engineering Ethics, 2020) look to neuroscience to mitigate the limitations of current robotics technology. They propose that robotics technology guided by neuroscience has the capacity to create intelligent robots that function with awareness and capacity for abstraction and reasoning. As neurorobotics extends the capability of robotics technology, it introduces new social and ethical concerns, in particular co-opting civilian applications for military use (dual-use), conflicts between industry and the academy (industry-academy partnerships), and data security (data governance). However, here we argue that empirical evidence has shown that human cognition is faulty; therefore there is not a clear motivation to build intelligent robots on a human model; representation of meaning in the brain is not well-understood; therefore neuro-robotics is limited; and to the extent that intelligent robots become a reality, the ethics of robot rights will be of central concern.
KW - Information processing
KW - Neural networks
KW - Probabilistic models
KW - Robot rights
UR - http://www.scopus.com/inward/record.url?scp=85088961500&partnerID=8YFLogxK
U2 - 10.1007/s11948-020-00249-7
DO - 10.1007/s11948-020-00249-7
M3 - Comment/debate
C2 - 32749646
AN - SCOPUS:85088961500
VL - 26
SP - 2547
EP - 2553
JO - Science and Engineering Ethics
JF - Science and Engineering Ethics
SN - 1353-3452
IS - 5
ER -