The imperative need to develop guidelines to manage human versus machine intelligence
Journal article
Kennedy, D and Philbin, SP (2018). The imperative need to develop guidelines to manage human versus machine intelligence. Frontiers of Engineering Management. 5 (2), pp. 182-194. https://doi.org/10.15302/J-FEM-2018085
Authors | Kennedy, D and Philbin, SP |
---|---|
Abstract | Machine intelligence is increasingly entering roles that were until recently dominated by human intelligence. As humans now depend upon machines to perform various tasks and operations, there appears to be a risk that humans are losing the necessary skills associated with producing competitively advantageous decisions. Therefore, this research explores the emerging area of human versus machine decision-making. An illustrative engineering case involving a joint machine and human decision-making system is presented to demonstrate how the outcome was not satisfactorily managed for all the parties involved. This is accompanied by a novel framework and research agenda to highlight areas of concern for engineering managers. We offer that the speed at which new human-machine interactions are being encountered by engineering managers suggests that an urgent need exists to develop a robust body of knowledge to provide sound guidance to situations where human and machine decisions conflict. Human-machine systems are becoming pervasive yet this research has revealed that current technological approaches are not adequate. The engineering insights and multi-criteria decision-making tool from this research significantly advance our understanding of this important area. |
Year | 2018 |
Journal | Frontiers of Engineering Management |
Journal citation | 5 (2), pp. 182-194 |
Digital Object Identifier (DOI) | https://doi.org/10.15302/J-FEM-2018085 |
Publication dates | |
28 Jun 2018 | |
Publication process dates | |
Deposited | 11 Sep 2018 |
Accepted | 19 Mar 2018 |
File | License File Access Level Open |
https://openresearch.lsbu.ac.uk/item/86q66
Download files
246
total views231
total downloads4
views this month2
downloads this month