The imperative need to develop guidelines to manage human versus machine intelligence

Donald KENNEDY, Simon P. PHILBIN

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Front. Eng ›› 2018, Vol. 5 ›› Issue (2) : 182-194. DOI: 10.15302/J-FEM-2018085
RESEARCH ARTICLE
RESEARCH ARTICLE

The imperative need to develop guidelines to manage human versus machine intelligence

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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.

Keywords

human intelligence & machine intelligence / HI-MI / decision-making / artificial intelligence

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Donald KENNEDY, Simon P. PHILBIN. The imperative need to develop guidelines to manage human versus machine intelligence. Front. Eng, 2018, 5(2): 182‒194 https://doi.org/10.15302/J-FEM-2018085

References

[1]
Adler P S, Clark K B (1991). Behind the learning curve: A sketch of the learning process. Management Science, 37(3): 267–281
CrossRef Google scholar
[2]
Applin S A, Fischer M D (2015). New technologies and mixed-use convergence: How humans and algorithms are adapting to each other. In: Proceedings of 2015 IEEE International Symposium on Technology and Society (ISTAS). Dublin: IEEE, 1–6
[3]
Bamber P, Fernandez-Stark K, Gereffi G (2016). Peru in the mining equipment global value chain. Duke University, Center on Globalization, Governance and Competitiveness (Duke CGGC)
[4]
Barker T, Frolick M N (2003). ERP implementation failure: A case study. Information Systems Management, 20(4): 43–49
CrossRef Google scholar
[5]
Becker J, Kugeler M, Rosemann M, eds. (2013). Process management: A guide for the design of business processes. Springer Science & Business Media, 7(2): 83–86
[6]
Beedle L S, Tall L (1960). Basic column strength. Journal of the Structural Division, 86(7): 139–174
[7]
Blyth P L, Mladenovic M N, Nardi B A, Ekbia H R, Su N M (2016). Expanding the design horizon for self-driving vehicles: Distributing benefits and burdens. IEEE Technology and Society Magazine, 35(3): 44–49
CrossRef Google scholar
[8]
Brown B, Laurier E (2012). The normal, natural troubles of driving with GPS. In: Proceedings of the SIGCHI 2012 Conference on Human Factors in Computing Systems. Austin: Association for Computing Machinery. 1621–1630
[9]
Burdon S, Bhalla A (2005). Lessons from the untold success story: Outsourcing engineering and facilities management. European Management Journal, 23(5): 576–582
CrossRef Google scholar
[10]
Chase R, Jacobs F R, Aquilano N (2004). Operations Management for Competitive Advantage, 10th ed. Columbus: McGraw-Hill/Irwin
[11]
Coleman C Y (2000). Kmart sees $740 million pretax charge from closing 72 stores, other changes. Wall Street Journal (Eastern edition) Jul 26th, 2000: B.10
[12]
Cotter T S (2015). Engineering analytics: Research into the governance structure needed to integrate the dominant design methodologies. In: Proceedings of the American Society for Engineering Management (ASEM) 2015 International Annual Conference. Indianapolis (IN), USA
[13]
Dori D (1989). A syntactic/geometric approach to recognition of dimensions in engineering machine drawings. Computer Vision Graphics and Image Processing, 47(3): 271–291
CrossRef Google scholar
[14]
Douglas M, Howell T, Nelson E, Pilkington L, Salinas I (2015). Improve the function of multigenerational teams. Nursing Management, 46(1): 11–13
CrossRef Pubmed Google scholar
[15]
Durst S, Wilhelm S (2012). Knowledge management and succession planning in SMEs. Journal of Knowledge Management, 16(4): 637–649
CrossRef Google scholar
[16]
Flynn P (2010). In: Kennedy D A. Flogging the Innocent: Higher Profits/Great Ethics/Enjoyable Work. Edmonton: Freerange Buddy Publications
[17]
Fryer K J, Ogden S M (2014). Modelling continuous improvement maturity in the public sector: Key stages and indicators. Total Quality Management & Business Excellence, 25(9–10): 1039–1053
CrossRef Google scholar
[18]
Gawande A (2010). Complications: A surgeon’s notes on an imperfect science. Literature and Medicine, 21(2): 324–327
[19]
Georgiou G A (2009). Non-destructive testing and evaluation of metals. Materials Science and Engineering, Encyclopedia of Life Support System (EOLSS), 3: 76–103
[20]
Guo B, Chen C, Yu Z, Zhang D, Zhou X (2015). Building human-machine intelligence in mobile crowd sensing. IT Professional, 17(3): 46–52
CrossRef Google scholar
[21]
Hardesty D M, Goodstein R C, Grewal D, Miyazaki A D, Kopalle P (2014). The accuracy of scanned prices. Journal of Retailing, 90(2): 291–300
CrossRef Google scholar
[22]
Hausknecht J P, Holwerda J A (2013). When does employee turnover matter? Dynamic member configurations, productive capacity, and collective performance. Organization Science, 24(1): 210–225
CrossRef Google scholar
[23]
Hedén B, Öhlin H, Rittner R, Edenbrandt L (1997). Acute myocardial infarction detected in the 12-lead ECG by artificial neural networks. Circulation, 96(6): 1798–1802
CrossRef Pubmed Google scholar
[24]
Helander M G (2014). Handbook of Human-Computer Interaction. Amsterdam: Elsevier
[25]
International Organization for Standards ISO 9001 Quality Management System. http://www.iso.org/iso/home/standards/management-standards/iso_9000.htm, 2016–12–21
[26]
Irani Z, Sharif A M, Papadopoulos T (2015). Organizational energy: A behavioral analysis of human and organizational factors in manufacturing. IEEE Transactions on Engineering Management, 62(2): 193–204
CrossRef Google scholar
[27]
Jacko J A, ed. (2012). Human Computer Interaction Handbook: Fundamentals, Evolving Technologies, and Emerging Applications. Boca Raton: CRC Press
[28]
Kahraman C, ed. (2008). Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments. New York: Springer Science & Business Media
[29]
Kalpakjian S, Schmid S R (2014). Manufacturing Engineering and Technology. Upper Saddle River: Pearson
[30]
Kennedy D, Whittaker J (2000). Engineering procedures manuals: Benefit or liability? Engineering Management Journal, 12(1): 9–14
CrossRef Google scholar
[31]
Kennedy D, Whittaker J (2002). Strategic partner or trojan horse? A case study. Engineering Management Journal, 14(4): 25–29
CrossRef Google scholar
[32]
Kennedy D A (2010). Flogging the Innocent: Higher Profits/Great Ethics/Enjoyable Work. Edmonton: Freerange Buddy Publications
[33]
Klauer K J, Phye G D (2008). Inductive reasoning: A training approach. Review of Educational Research, 78(1): 85–123
CrossRef Google scholar
[34]
Krumm J, ed. (2016). Ubiquitous Computing Fundamentals. Boca Raton: CRC Press
[35]
Lieblich A, Tuval-Mashiach R, Zilber T (1998). Narrative Research: Reading, Analysis, and Interpretation. New York: Sage
[36]
Maguire E A, Gadian D G, Johnsrude I S, Good C D, Ashburner J, Frackowiak R S, Frith C D (2000). Navigation-related structural change in the hippocampi of taxi drivers. Proceedings of the National Academy of Sciences of the United States of America, 97(8): 4398–4403
CrossRef Pubmed Google scholar
[37]
McCrea A, Chamberlain D, Navon R (2002). Automated inspection and restoration of steel bridges — A critical review of methods and enabling technologies. Automation in Construction, 11(4): 351–373
CrossRef Google scholar
[38]
Murphy J (2016). Overcoming fraud & dishonesty in the hospitality industry. Hospitality Expo. Dublin: Dublin Institute of Technology
[39]
Newnan D G, Lavelle J P, Eschenbach T G (2013). Engineering Economic Analysis. Oxford: Oxford University Press
[40]
Nichols S P, Aanstoos T A, Moore C (2000). Curriculum innovation: Professional responsibility. In: Proceedings of 2000 International Conference on Engineering Education
[41]
Ohn-Bar E, Trivedi M M (2016). Looking at humans in the age of self-driving and highly automated vehicles. IEEE Transactions on Intelligent Vehicles, 1(1): 90–104
CrossRef Google scholar
[42]
Petroski H (1985). To Engineer is Human: The Role of Failure in Successful Design. New York: St. Martin’s Press
[43]
Philbin S P, Kennedy D A (2014). Diagnostic framework and health check tool for engineering and technology projects. Journal of Industrial Engineering and Management, 7(5): 1145
CrossRef Google scholar
[44]
Pohekar S D, Ramachandran M (2004). Application of multi-criteria decision making to sustainable energy planning — A review. Renewable & Sustainable Energy Reviews, 8(4): 365–381
CrossRef Google scholar
[45]
Pollono L P, Mello R M (1979). Design considerations for CRBRP heat transport system piping operating at elevated temperatures. American Society of Mechanical Engineers (ASME), Nuclear Engineering Division
[46]
Reber A S (1989). Implicit learning and tacit knowledge. Journal of Experimental Psychology. General, 118(3): 219–235
CrossRef Pubmed Google scholar
[47]
Robbins J (2013). GPS: A turn by turn case-in-point. Journal of Cases on Information Technology, 13(2): 88–111
[48]
Samnani A K, Singh P (2014). Performance-enhancing compensation practices and employee productivity: The role of workplace bullying. Human Resource Management Review, 24(1): 5–16
CrossRef Google scholar
[49]
Snow A P, Keil M (2002). A framework for assessing the reliability of software project status reports. Engineering Management Journal, 14(2): 20–26
CrossRef Google scholar
[50]
Stanton N, Salmon P M, Rafferty L A (2013). Human Factors Methods: A Practical Guide for Engineering and Design. Burlington: Ashgate Publishing, Limited
[51]
Studer R, Benjamins V R, Fensel D (1998). Knowledge engineering: Principles and methods. Data & Knowledge Engineering, 25(1–2): 161–197
CrossRef Google scholar
[52]
Sullivan T A (1990). Change in Societal Institutions. New York: Plenum Press
[53]
Taylor A K, Cotter T S (2016). Human opinion counts — Making decisions in critical situations when working with highly automated systems. In: Proceedings of the American Society for Engineering Management (ASEM) 2016 International Annual Conference
[61]
Trägårdh E, Carlsson M, Edenbrandt L (2015). Computerized decision making in myocardial perfusion SPECT: The new era in nuclear cardiology? Journal of Nuclear Cardiology, 25(5): 885–887
[54]
Triantaphyllou E (2013). Multi-Criteria Decision Making Methods: A Comparative Study. New York: Springer Science & Business Media
[55]
Tsoukalas A, Albertson T, Tagkopoulos I (2015). From data to optimal decision making: a data-driven, probabilistic machine learning approach to decision support for patients with sepsis. JMIR Medical Informatics, 3(1): e11
CrossRef Pubmed Google scholar
[56]
Upton D M (1998). Designing, Managing, and Improving Operations. Upper Saddle River: Prentice Hall
[57]
Vemuri V K, Palvia S C (2007). Improvement in operational efficiency due to ERP systems implementation: Truth or myth? Information Resources Management Journal, 19(2): 43–61
[58]
Vespignani A (2009). Predicting the behavior of techno-social systems. Science, 325(5939): 425–428
CrossRef Pubmed Google scholar
[59]
Warwick K (2013). Artificial Intelligence: The Basics. London: Routledge
[60]
Wehmeyer M L (2015). Enduring Issues in Special Education: Personal Perspectives. London: Routledge

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2018 The Author(s) 2018. Published by Higher Education Press. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0)
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