Artificial Intelligence in the Public Sector

  • Bernd W. WirtzEmail author
  • Jan C. Weyerer
Living reference work entry
DOI: https://doi.org/10.1007/978-3-319-31816-5_3701-1

Synonyms

Definition

Artificial intelligence (AI) describes the capability of a computer system to perform human-like intelligent behavior and problem solving by means of specific core competencies, comprising perception, understanding, action, and learning.

Introduction

Artificial intelligence (AI) has become an important topic for government and the public sector around the world (compare for the following Wirtz et al. 2018). This importance mainly results from AI’s ability to significantly contribute to the problem solving of long-standing issues in the public sector, such as high turnover rates, large unmanageable caseloads, administrative burdens, long waiting times, and delays in service delivery and language barriers. Accordingly, AI can provide great benefits for governments, the public sector, and society as a whole, including automated working processes, reduced administrative burden, greater working...

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References

  1. Bostrom N, Dafoe A, Flynn C (2016) Policy Desiderata in the development of machine superintelligence. Future of Humanity Institute, University of Oxford. https://www.fhi.ox.ac.uk/wp-content/uploads/Policy-Desiderata-in-the-Development-of-Machine-Superintelligence.pdf. Checked on 8 June 2018
  2. Boyd M, Wilson N (2017) Rapid developments in artificial intelligence: how might the New Zealand Government respond? Policy Q 13(4):36–44CrossRefGoogle Scholar
  3. Bughin J, Hazan E, Ramaswamy S, Chui M, Allas T, Dahlström P et al (2017) Artificial intelligence: the next digital frontier? Edited by McKinsey Global Institute. https://www.mckinsey.com/~/media/McKinsey/Industries/Advanced%20Electronics/Our%20Insights/How%20artificial%20intelligence%20can%20deliver%20real%20value%20to%20companies/MGI-Artificial-Intelligence-Discussion-paper.ashx. Checked on 29 June 2018
  4. Christchurch International Airport Limited (2016) New Zealands’s first trial of autonomus vehicle announced. http://www.christchurchairport.co.nz/media/. Checked on 2 June 2018
  5. Chun AHW (2007) Using AI for e-government automatic assessment of immigration application forms. In:  Proceedings of the national conference on artificial intelligence, AAAI 2007, Vancouver, BC, Canada, vol 2, pp 1684–1691Google Scholar
  6. Citron DK, Pasquale FA (2014) The scored society: due process for automated predictions. Wash Law Rev 89(1):1–33Google Scholar
  7. Collier M, Fu R, Yin L (2017) Artifical intelligence: healthcare’s new nervous system. Edited by Accenture. https://www.accenture.com/t20170418T023052Z__w__/au-en/_acnmedia/PDF-49/Accenture-Health-Artificial-Intelligence.pdf#zoom=50. Checked on 29 June 2018
  8. Conitzer V, Sinnott-Armstrong W, Borg JS, Deng Y, Kramer M (2017) Moral decision making frameworks for artificial intelligence. In: Proceedings of the 31st AAAI conference on artificial intelligence, AAAI 2017, San Francisco, CA, USA, pp 4831–4835Google Scholar
  9. Cortés-Cediel ME, Cantador I, Gil O (2017) Recommender systems for e-governance in smart cities. In: Yang J, Sun Z, Bozzon A, Zhang J, Larson M (eds) Proceedings of the international workshop on citizens for recommender systems – CitRec ’17. The International Workshop, Como, Italy, 31.08.2017. ACM Press, New York, pp 1–6Google Scholar
  10. Dheap V (2017) IBM QRadar advisor with Watson: revolutionizing the way security analysts work. Edited by IBM. https://securityintelligence.com/ibm-qradar-advisor-with-watson-revolutionizing-the-way-security-analysts-work/. Checked on 2 July 2018
  11. Eggers WD, Fishman T, Kishnani P (2017) AI-augmented human services: using cognitive technologies to transform program delivery. Edited by Deloitte. https://www2.deloitte.com/content/dam/insights/us/articles/4152_AI-human-services/4152_AI-human-services.pdf. Checked on 2 July 2018
  12. EY (2018) The growing impact of AI on business. Edited by MIT Technology Review. https://www.technologyreview.com/s/611013/the-growing-impact-of-ai-on-business/. Checked on 7 June 2018
  13. Fast E, Horvitz E (2017) Long-term trends in the public perception of artificial intelligence. In: Proceedings of the thirty-first AAAI conference on artificial intelligence (AAAI-17), pp 963–969Google Scholar
  14. Gasser U, Almeida VAF (2017) A layered model for AI governance. IEEE Internet Comput 21(6):58–62CrossRefGoogle Scholar
  15. Hemken T, Gray C (2016) Smart move: technologies make their mark on public service. Edited by Accenture. https://www.accenture.com/t20170224T040950Z__w__/us-en/_acnmedia/PDF-36/Accenture-Public-Service-Emerging-Technologies-Slideshare.pdf. Checked on 29 June 2018
  16. Herman J (2017a) Federal pilot to integrate public services into intelligent personal assistants. Edited by DigitalGov. U.S. General Services Administration. https://digital.gov/2017/04/24/federal-pilot-to-integrate-public-services-into-intelligent-personal-assistants/. Checked on 5 June 2018
  17. Herman J (2017b) Opening public services to artificial intelligence assistants. Edited by U.S. General Services Administration. https://www.gsa.gov/blog/2017/06/06/Opening-Public-Services-to-Artificial-Intelligence-Assistants. Checked on 6 June 2018
  18. Jefferies D (2016) The automated city: do we still need humans to run public services? Edited by The Guardian. https://www.theguardian.com/cities/2016/sep/20/automated-city-robots-run-public-services-councils. Checked on 2 July 2018
  19. Johnson DG (2015) Technology with no human responsibility? J Bus Ethics 127(4):707–715.  https://doi.org/10.1007/s10551-014-2180-1CrossRefGoogle Scholar
  20. Johnson DG, Verdicchio M (2017) AI anxiety. J Assoc Inf Sci Technol 68(9):2267–2270CrossRefGoogle Scholar
  21. Kouziokas GN (2017) The application of artificial intelligence in public administration for forecasting high crime risk transportation areas in urban environment. Transp Res Procedia 24:467–473CrossRefGoogle Scholar
  22. Kouziokas G, Chatzigeorgiou A, Perakis K (2017) Artificial intelligence and regression analysis in predicting ground water levels in public administration. Eur Water Publ 57:361–366Google Scholar
  23. Lin SY, Shanafelt TD, Asch SM (2018) Reimagining clinical documentation with artificial intelligence. Mayo Clin Proc 93(5):563–565.  https://doi.org/10.1016/j.mayocp.2018.02.016CrossRefGoogle Scholar
  24. Manyika J, Chui M, Miremadi M, Bughin J, George K, Willmott P, Dewhurst M (2017) A future that works: automation, employment, and productivity. Edited by McKinsey Global Institute. https://www.mckinsey.com/~/media/McKinsey/Featured%20Insights/Digital%20Disruption/Harnessing%20automation%20for%20a%20future%20that%20works/MGI-A-future-that-works_Full-report.ashx. Checked on 20 June 2018
  25. Matthias A (2004) The responsibility gap: ascribing responsibility for the actions of learning automata. Ethics Inf Technol 6(3):175–183.  https://doi.org/10.1007/s10676-004-3422-1CrossRefGoogle Scholar
  26. Mehr H (2017) Artificial intelligence for citizen services and government. Harvard Kennedy School, Ash Center for Democratic Governance and Innovation, Cambridge, MA. https://ash.harvard.edu/files/ash/files/artificial_intelligence_for_citizen_services.pdf. Checked on 2 July 2018
  27. Microsoft (2018) Machine translation. https://www.microsoft.com/en-us/translator/mt.aspx. Checked on 2 July 2018
  28. Mittelstadt BD, Allo P, Taddeo M, Wachter S, Floridi L (2016) The ethics of algorithms: mapping the debate. Big Data Soc 3(2):1–21.  https://doi.org/10.1177/2053951716679679CrossRefGoogle Scholar
  29. Power DJ (2016) “Big Brother” can watch us. J Decis Syst 25(Suppl 1):578–588CrossRefGoogle Scholar
  30. Roberts Al (2017) Five big challenges to AI adoption and success. Edited by ClickZ. https://www.clickz.com/five-big-challenges-to-ai-adoption-and-success/112795/. Checked on 2 July 2018
  31. Wirtz BW, Weyerer JC, Geyer C (2018) Artificial intelligence and the public sector – applications and challenges. Int J Public Adm 13(7):1–20.  https://doi.org/10.1080/01900692.2018.1498103CrossRefGoogle Scholar
  32. Zheng Y, Yu H, Cui L, Miao C, Leung C, Yang Q (2018) SmartHS: an AI platform for improving government service provision. In: The thirtieth AAAI conference on innovative applications of artificial intelligence (IAAI-18), pp 7704–7711. https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16041/16369. Checked on 2 July 2018

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.German University of Administrative Sciences SpeyerSpeyerGermany