Brownsword, R., 2017. From erewhon to alphaGo: For the sake of human dignity, should we destroy the machines? Law, Innovation and Technology, 9 (1), 117 - 153.
Full text available as:
|
PDF
Erewhon cut.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial. 254kB | |
Copyright to original material in this document is with the original owner(s). Access to this content through BURO is granted on condition that you use it only for research, scholarly or other non-commercial purposes. If you wish to use it for any other purposes, you must contact BU via BURO@bournemouth.ac.uk. Any third party copyright material in this document remains the property of its respective owner(s). BU grants no licence for further use of that third party material. |
DOI: 10.1080/17579961.2017.1303927
Abstract
This paper asks whether, for the sake of human dignity, regulators should adopt a precautionary approach to the development of smart machines. Having identified a set of essential (or commons’) conditions for the existence of human social agents, including respect for human dignity in both foundational and non-foundational senses, consideration is given to human reliance on personal digital assistants, to the development of autonomous vehicles and lethal autonomous weapons systems, and to the use of smart machines in the criminal justice system. The paper concludes that, while smart machines should not be destroyed, a degree of precaution for the sake of human dignity is warranted. In particular, it is recommended that international agencies should monitor the impact of smart machines on the commons’ conditions; and that national commissions should facilitate the articulation of the local social licence for the development and application of such machines.
Item Type: | Article |
---|---|
ISSN: | 1757-9961 |
Uncontrolled Keywords: | Smart machines, machine learning, human dignity, personal digital systems, autonomous vehicles, autonomous weapons, criminal justice, precautio |
Group: | Faculty of Media & Communication |
ID Code: | 33737 |
Deposited By: | Symplectic RT2 |
Deposited On: | 10 Mar 2020 15:45 |
Last Modified: | 14 Mar 2022 14:21 |
Downloads
Downloads per month over past year
Repository Staff Only - |