Abstract
The networked future will generate a huge amount of data. With this in mind, using big data analytics will be an important capability that will be required to fully leverage the knowledge within the data. However, collecting, storing and analyzing the data can create many ethical situations that data scientists have yet to ponder. Hence, this paper explores some of the possible ethical conundrums that might have to be addressed within a big data network of the future project and proposes a framework that can be used by data scientists working within such a context. These ethical challenges are explored within an example of future networked vehicles. In short, the framework focuses on two high level ethical considerations that need to be considered: data related challenges and model related challenges.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bi, Z.: Embracing internet of things (IoT) and big data for industrial informatics. Enterp. Inf. Syst. 11(7), 949–951 (2017)
Boyd, D., Levy, K., Marwick, A.E.: The Networked Nature of Algorithmic Discrimination. Data and Discrimination. Collected Essays, New America (2014)
Bynum, T.: Computer and Information Ethics. The Stanford Encylopedia of Philosophy, Online edn. Metaphysics Research Lab, Stanford University (2008)
Chapman, P., Clinton, J., Kerber, R., Khabaza, T., Reinartz, T., Shearer, C., Rudiger, W.: CRISP-DM 1.0. Retrieved from The Modeling Agency (2000). www.the-modeling-agency.com/crisp-dm.pdf
Crawford, K.: The hidden biases in big data. Harvard Business Review, Online edn. (2013)
Dwork, C., Hardt, M., Pitassi, T., Reingold, O., Zemel, R.: Fairness through awareness, In: Proceedings of the 3rd Innovations in Theoretical Computer Science Conference, pp. 214–226. ACM (2012)
Fairfield, J., Shtein, H.: Big data, big problems: emerging issues in the ethics and data science of journalism. J. Mass Media Ethics 29(1), 38–51 (2014)
Floridi, L., Taddeo, M.: What is data ethics? Philos. Trans. R. Soc. 374, 20160360 (2016)
Firouzi, F., Rahmani, A.M., Mankodiya, K., Badaroglu, M., Merrett, G.V., Wong, P., Farahani, B.: Internet-of-Things and big data for smarter healthcare: from device to architecture, applications and analytics (2018)
Guan, P., Zhou, W.: Business analytics generated data brokerage: law, ethical and social issues. In: Doss, R., Piramuthu, S., Zhou, W. (eds.) FNSS 2017. CCIS, vol. 759, pp. 167–175. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-65548-2_13
Haffar, J.: Have you seen ASUM-DM? Retrieved from IBM (2015) https://developer.ibm.com/predictiveanalytics/2015/10/16/have-you-seen-asum-dm/
Jagadish, H., Gehrke, J., Labrinidis, A., Papakonstantinou, Y., Patel, J.M., Ramakrishnan, R., Shahabi, C.: Big data and its technical challenges. Commun. ACM 57(7), 86–94 (2014)
Li, Y., Roy, U., Saltz, J.: Modular design of data-driven analytics models in smart-product development. In: ASME 2017 International Mechanical Engineering Congress and Exposition, pp. V011T15A022–V011T15A022. American Society of Mechanical Engineers (2017)
Manogaran, G., Lopez, D., Thota, C., Abbas, K.M., Pyne, S., Sundarasekar, R.: Big data analytics in healthcare internet of things. In: Qudrat-Ullah, H., Tsasis, P. (eds.) Innovative Healthcare Systems for the 21st Century. UCS, pp. 263–284. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-55774-8_10
Metcalf, J., Keller, E., Boyd, D.: Perspectives on big data, ethics and society. Council for Big Data, Ethics and Society (2016). http://bdes.datasociety.net/council-output/perspectives-on-big-data-ethics-and-society/
O’Leary, D.E.: ‘Big data’, the ‘internet of things’ and the ‘internet of signs’. Intell. Sys. Acc. Fin. Mgmt. 20, 53–65 (2013)
Saltz, J., Shamshurin, I.: Big data team process methodologies: A literature review and the identification of key factors for a project’s success. In: 2016 IEEE International Conference on Big Data (Big Data), pp. 2872–2879. IEEE (2016)
Saltz, J., Shamshurin, I., Connors, C.: Predicting data science sociotechnical execution challenges by categorizing data science projects. J. Assoc. Inf. Sci. Technol. 68, 2720–2728 (2017). https://doi.org/10.1002/asi.23873
Saltz, J., Heckman, R.: Big data science education: a case study of a project-focused introductory course. Themes Sci. Technol. Educ. 8(2), 85–94 (2016)
Sandvig, C., Hamilton, K., Karahalios, K., Langbort, C.: An Algorithmic Audit, Data and Discrimination: Collected Essays New America (2014)
Schwartz, P.M.: Privacy, ethics and analytics. IEEE Secur. Priv. 9(3), 66–69 (2011)
Shearer, C.: The CRISP-DM model: the new blueprint for data mining. J. Data Warehouse. 5(4), 13–22 (2000)
Stergiou, C., Psannis, K.E.: Recent advances delivered by mobile cloud computing and internet of things for big data applications: a survey. Int. J. Netw. Manag. 27, e1930 (2017). https://doi.org/10.1002/nem.1930
Stevenson, D.: Locating Discrimination in Data-Based Systems. Data and Discrimination: Collected Essays 16–20. New America (2014)
Strohbach, M., Ziekow, H., Gazis, V., Akiva, N.: Towards a Big Data Analytics Framework for IoT and Smart City Applications. AGT International, Darmstadt (2015)
Wikipedia (2017). http://en.wikipedia.org/wiki/Cross-industry_standard_process_for_data_mining
Tene, O., Polotensky, J.: Privacy in the age of big data. Stanford Law Review (2012)
Wikipedia (2017). http://en.wikipedia.org/wiki/Cross-industry_standard_process_for_data_mining
Zwitter, A.: Big data ethics. Big Data Soc. 1(2), 2053951714559253 (2014)
References Appendix: List of Codes and Frameworks
Data Science Code of Conduct. Data Science Association. http://www.datascienceassn.org/code-of-conduct.html
ACM Code of Ethics and Professional Conduct. Association for Computing Machinery (1994). https://www.acm.org/about-acm/acm-code-of-ethics-and-professional-conduct
Code of Ethics, Digital Analytics Association. https://www.digitalanalyticsassociation.org/codeofethics
Data Science Ethical Framework. The United Kingdom Government (2016). https://www.gov.uk/government/publications/data-science-ethical-framework
Jagadish, H.: Data Science Ethics. University of Michigan/EdX. https://www.edx.org/course/data-science-ethics-michiganx-ds101x-1#!
The Financial Modeler’s Manifesto. The Society of Actuaries (2009). https://www.soa.org/Library/newsletters/risk-management-newsletter/2009/september/jrm-2009-iss17-derman.pdf
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Saltz, J.S. (2018). A Framework to Explore Ethical Issues When Using Big Data Analytics on the Future Networked Internet of Things. In: Doss, R., Piramuthu, S., Zhou, W. (eds) Future Network Systems and Security. FNSS 2018. Communications in Computer and Information Science, vol 878. Springer, Cham. https://doi.org/10.1007/978-3-319-94421-0_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-94421-0_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-94420-3
Online ISBN: 978-3-319-94421-0
eBook Packages: Computer ScienceComputer Science (R0)