Big Data and Algorithms in the Public Sector and Their Impact on the Transparency of Decision-Making

Authors:
Gergely László Szőke, Department of Administrative Law at the Faculty of Law, University of Pécs

Abstract:

Big Data is clearly one of the most used buzzwords nowadays, but it really seems that the phenomenon of Big Data will have a huge effect on many different fields, and may be regarded as the new wave of the information revolution started in the 60s of the last century. The potential of exploiting Big Data promises significant benefits (and also new challenges) both in the private and the public sector – this essay will focus on this latter. After a short introduction about Big Data, this paper will first sum up the potential use of Big Data analytics in the public sector. Then I will focus on a specific issue within this scope, namely, how the use of Big Data and algorithm-based decision-making may affect transparency and access to these data. I will focus on the question why the transparency of the algorithms is raised at all, and what the current legal framework for the potential accessibility to them is.

References:

[1] ALYASS, A., TURCOTTE, M., MEYRE, D., From big data analysis to personalized medicine for all: challenges and opportunities, BMC Medical Genomics, 8(33), 2015, https://doi.org/10.1186/s12920-015-0108-y [Accessed 5 December 2017] [2] ARTICLE 29 DATA PROTECTION WORKING PARTY, Guidelines on Automated individual decision-making and Profiling for the purposes of Regulation 2016/679, Adopted on 3 October 2017 (WP251) [3] BANISAR, D., Freedom of Information Around the World 2006, Privacy International, http://www.freedominfo.org/documents/global_survey2006.pdf [Accessed 25 November 2017] [4] Big Data Analysis Proves Effective in Identifying Harmful Drug Interactions, https://www.dicardiology.com/content/big-data-analysis-proves-effective-identifying-harmful-drug-interactions [Accessed 5 December 2017] [5] Big Data: A Report on Algorithmic Systems, Opportunity, and Civil Rights, Executive Office of the President, May 2016, https://obamawhitehouse.archives.gov/sites/default/files/ microsites/ostp/2016_0504_data_discrimination.pdf [Accessed 5 December 2017] [6] CUKIER, K., MAYER-SCHOENBERGER, V., The Rise of Big Data. How It’s Changing the Way We Think About the World, Foreign Affairs, 92(3), 2013, pp. 28-40. [Accessed 8 December 2017 via HeinOnline] [7] DIAKOPOULOS, N., Algoritmic Acccountability Reporting: On the Investigation of Black Boxes, Tow Center for Digital Journalism, Columbia University, 2014, http://towcenter.org /wp- content/uploads/2014/02/78524_Tow-Center-Report-WEB-1.pdf [Accessed 5 January 2018] [8] EPIC, Algorithms in the Criminal Justice System https://epic.org/algorithmic-transparency/ crim-justice/ [Accessed 4 January 2018] [9] FINK, K., Opening the government’s black boxes: freedom of information and algorithmic accountability, Information, Communication & Society, 2017, https://doi.org/10.1080/ 1369118X.2017.1330418 [Accessed 25 June 2017, via Taylor&Francis Online] [10] FORGÁCS, I., A Big Data, avagy kezdjünk el gondolkodni a közigazgatás új feladatairól [Big Data, or it is time to start to think about the new tasks of public administration], In: FAZEKAS, M., (ed.): Gazdaság és közigazgatás: tanulmányok Ficzere Lajos tiszteletére [Economy and public administration – essays in honour of Ficzere Lajos], ELTE Eötvös Kiadó, Budapest 2015, pp. 123-133. [11] GAMAGE, P., New development: Leveraging ’big data’ analytics in the public sector, Public Money & Management, 36(5), 2016, pp. 385-390. http://dx.doi.org/10.1080/09540962. 2016.1194087 [Accessed 25 June 2017, via Taylor&Francis Online] [12] HAMM, S., How Big Data Can Boost Weather Forecasting, Wired, 2013. https://www.wired.com/insights/2013/02/how-big-data-can-boost-weather-forecasting [Accessed 12 December 2017] [13] HOWARTH, B., Big data: how predictive analytics is taking over the public sector, https://www.theguardian.com/technology/2014/jun/13/big-data-how-predictive-analytics-is-taking-over-the-public-sector [Accessed 5 December 2017] [14] JANSSEN, M., HOVEN, J., Big and Open Data (BOLD) in government: A challenge to transparency and privacy? Government Information Quarterly, 32(4). 2015, pp. 363-368. https://doi.org/10.1016/j.giq.2015.11.007 [Accessed 14 September 2017, via ScienceDriect] [15] LIPTAK, A., Sent to Prison by a Software Program’s Secret Algorithms Algorithms in the Criminal Justice System, 1st May, 2017., New York Times, https://www.nytimes.com/2017/05/01/us/politics/sent-to-prison-by-a-software-programs-secret-algorithms.html?_r=1 [Accessed 4 January 2018] [16] MANTELERO, A., Social Control, Transparency, and Participation in a Big Data World, Journal of Internet Law, 17(10) 2014 pp. 23-29. http://staff.polito.it/alessandro.mantelero/ JIL_0414_Mantelero.pdf [Accessed 25 May 2017]] [17] MARR, B., How is Big Data Used in Practice? 10 Use Cases Everyone Must Read https://www.bernardmarr.com/default.asp?contentID=1076 [Accessed 10 December 2017] [18] MUNNÉ, R., Big Data in Public Sector. In.: CAVANILLAS, J., M., CURRY, E., WAHLSTER, W. (Eds.), New Horizons for a Data-Driven Economy. A Roadmap for Usage and Exploitation of Big Data in Europe, SpringerOpen, 2016. pp. 195-208. https://link.springer.com/content/pdf/10.1007%2F978-3-319-21569-3.pdf [Accessed 5 May 2017] [19] NAGY, T., Big Data – új (m)érték a büntetőeljárásban [Big Data – new measure in the criminal procedure], In: VÓKÓ, GY., (ed.): Tanulmányok Polt Péter 60. születésnapja tiszteletére [Essays in honour of the 60th birthday of Polt Péter], HVG-ORAC, Budapest 2015, pp. 186-194. [20] RACSKÓ, P., Big Data a közigazgatásban [Big Data in Public Administration], In: NEMESLAKI, A. (ed.): E-közszolgálatfejlesztés [Development of E-Public Services], Nemzeti Közszolgálati Egyetem, Budapest 2014. [21] SZŰTS, Z., YOO, J., Big Data, az információs társadalom új paradigmája [Big Data, the new Paradigm of the Information Society], Információs Társadalom, 16(1), 2016, pp. 7-28. [22] Tackling tax fraud with Big Data approach, Atos, 2015. https://atos.net/wp-content/uploads/2017/10/atos-risk-and-bi-whitepaper.pdf [Accessed 18 December 2017] [23] VADÁSZ, P., A Case Study on Finding Fraudulent Practices in the Public Procurement Process Using Text-Mining Methods from Open Internet Sources. In: BALTHASAR, A., et. al. (eds.): Central and Eastern European e|Dem and e|Gov Days 2016, Austrian Computer Society, Wien 2016. pp. 471-480. [24] ZŐDI, ZS., Jog és jogtudomány a Big Data korában [Law and Jurisprudence in the Age of Big Data], Állam- és Jogtudomány, 58(1), 2017, pp. 95-114. [25] ZŐDI, ZS., Privacy és Big Data [Privacy and Big Data], Fundamentum, 2017/1-2. pp. 18-30.

Publication:

Central and Eastern European e|Dem and e|Gov Days 2018

Including a Workshop on Smart Cities organized by the Congress of Local and Regional Authorities of the Council of Europe
Proceedings of the Central and Eastern European E|Dem and E|Gov Days, May 3-4, 2018, Budapest
Facultas, 1. Ed. (14 May 2018), 506 p.
ISBN-10: 9783708917375,
ISBN-13: 978-3708917375,
ASIN: 3708917375506

Editors: Hendrik Hansen, Robert Müller-Török, András Nemeslaki, Alexander Prosser, Dona Scola, Tamás Szádeczky