Skip to main content
SpringerLink
Log in

Technological Governance (Cybersecurity and AI): Role of Digital Governance

  • Chapter
  • First Online:
Cybersecurity and Artificial Intelligence

  • 37 Accesses

Abstract

This book chapter assumes that emerging technologies present similar governance challenges, and this commonality is true for artificial intelligence (AI) and cybersecurity applications. Cybersecurity and AI have the potential to be major influencers on society and economic success and their integration could push competition and economic growth much higher than anticipated for the deployment of a single emerging technology (AI alone or cybersecurity alone). Several governance models are discussed but an integration or combination of these models would be an effective way to strengthen governance principles. However, a consensus is required by the principal stakeholders and not just state players. Governments may need to be facilitators and thus keep an oversight on the governance process at the global and country level. Collaboration between stakeholders will help to embed strong governance guidelines in the AI and cybersecurity ecosystems and prevent potential problems becoming major issues. Governance principles can be strengthened not only by collaboration, but also by changing the behaviour of users of emerging technologies through a combination of traditional learning and experiential learning. Changing user behaviour in emerging technology ecosystems underpins governance principles and helps to embed good practice for emerging technologies throughout society.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Acemoglu D, Restrepo P (2020) Robots and jobs: evidence from U.S. labor markets. J Polit Econ 128(6):2218–2243

    Google Scholar 

  2. Amigoni F, Schiafonati V (2018) Ethics for robots as experimental technologies. IEEE Robot Autom Mag 25:30–36

    Article  Google Scholar 

  3. Ansell C, Gash A (2008) Collaborative governance in theory and practice. J Pub Admin Res Theory 18(4):543–571

    Article  Google Scholar 

  4. Benz A (2010) Governance—Regieren in komplexen Regelsystemen: Eine Einführung. Springer, Berlin

    Book  Google Scholar 

  5. Bevir M (2009) Key concepts in governance. Sage, Los Angeles

    Book  Google Scholar 

  6. Bevir M (2011) The SAGE handbook of governance. Sage, London

    Book  Google Scholar 

  7. Big Innovation Centre/All-Party Parliamentary Group on Artificial Intelligence (2017) APPG AI findings 2017

    Google Scholar 

  8. Borras S, Edler J (eds) (2014) The governance of socio-technical systems: explaining change. Edward Elgar, Cheltenham

    Google Scholar 

  9. Borras S, Edler J (2020) The roles of the state in the governance of socio-technical systems’ transformation. Res Policy 49(5):103971

    Article  Google Scholar 

  10. Bowser A, Sloan M, Michelucci P, Pauwels E (2017) Artificial intelligence: a policy-oriented introduction. Wilson Center. https://www.wilsoncenter.org/publication/artificial-intelligence-policy-oriented-introduction

  11. Broussard M (2018) Artificial unintelligence: how computers misunderstand the world. The MIT Press, Cambridge, MA

    Book  Google Scholar 

  12. Brynjolfsson E, Rock D, Syverson C (2019) Artificial intelligence and the modern productivity paradox: a clash of expectations and statistics. In: Agrawal G, Goldfarb (eds) The economics of artificial intelligence: an agenda. National Bureau of Economic Research, Inc., Chicago, USA, pp 23–57

    Google Scholar 

  13. Buiten CM (2019) Towards intelligent regulation of artificial intelligence. Eur J Risk Regul 10(1):41–59

    Article  Google Scholar 

  14. Campolo A, Sanfilippo M, Whittaker M, Crawford K (2017) AI now 2017 report. AI Now Institute, New York University. https://ainowinstitute.org/publication/ai-now-2017-report-2.

  15. Canadian Government (2020) Algorithmic impact assessment. https://www.canada.ca/en/government/system/digital-government/digital-government-innovations/responsible-use-ai/algorithmic-impact-assessment.html. Accessed 11 Oct 2023

  16. Cherry K (2022) What is attribution in social psychology? Available online: https://www.verywellmind.com/attribution-socialpsychology-2795898. Accessed on 28 Sept 2023

  17. Coeckelbergh M (2020) AI ethics. The MIT Press, Cambridge, MA

    Book  Google Scholar 

  18. Crafts N, Mills TC (2017) Predicting medium-term TFP growth in the United States: Econometrics vs ‘techno-optimism.’ Natl Inst Econ Rev 242(1):60–67

    Article  Google Scholar 

  19. Crawford K, Whittaker M (2016) The AI now report. The social and economic implications of artificial intelligence technologies in the near-term. AI Now Institute.

    Google Scholar 

  20. Dartmouth College (n.d.) Artificial intelligence coined at Dartmouth. https://home.dartmouth.edu/about/artificial-intelligence-ai-coined-dartmouth. Accessed 1 Sept 2023

  21. Dauth W, Findeisen S, Suedekum J (2017) Trade and manufacturing jobs in Germany. Am Econ Rev Papers Proc 107(5):337–342

    Article  Google Scholar 

  22. Dignum V (2019) Responsible artificial intelligence. How to develop and use AI in a responsible way. Springer, Cham

    Book  Google Scholar 

  23. Djefal C (2018) Sustainable AI development (SAID): on the road to more access to justice. https://ssrn.com/abstract=3298980 or https://doi.org/10.2139/ssrn.3298980. Accessed 08 Oct 2023

  24. Emerson K, Nakauchi T, Balogh S (2011) An integrative framework for collaborative governance. J Pub Adm Res Theor 22:1–29

    Google Scholar 

  25. Executive Office of the President (2016) The national artificial intelligence research and development strategic plan. National Science and Technology Council Networking and Information Technology Research and Development Subcommittee. https://www.nitrd.gov/pubs/national_ai_rd_strategic_plan.pdf

  26. Floridi L, Cowls J, Beltrametti M, Chatila R, Chazerand P, Dignum V, Luetge C, Madelin R, Pagallo U, Rossi F, Schafer B, Valcke P, Vayena E (2018) AI 4 people—an ethical framework for a good AI society: opportunities, risks, principles, and recommendations. Minds Mach 28(4):689–707

    Google Scholar 

  27. Fosch-Villaronga E, Heldeweg M (2018) ’Regulation, I presume?’ Said the robot: towards an iterative regulatory process for robot governance. Comput Law Secur Rev 34:1258–1277

    Article  Google Scholar 

  28. Fry H (2018) Hello world. How to be human in the age of the machine. Black Swan, London

    Google Scholar 

  29. Galanos V (2019) Exploring expanding expertise: Artificial intelligence as an existential threat and the role of prestigious commentators, 2014–2018. Technol Anal Strat Manage 31(4):421–432

    Article  Google Scholar 

  30. Graetz G, Michaels G (2015) Robots at work. In: CEP discussion paper no 1335. Centre for Economic Performance. https://cep.lse.ac.uk/pubs/download/dp1335.pdf

  31. Grande E (2012) Governance-Forschung in der Governance-Falle?—Eine kritische Bestandsaufnahme. Politische Vierteljahresschrift 53(4):565–592

    Article  Google Scholar 

  32. Hagendorff T (2020) The ethics of AI ethics: an evaluation of guidelines. Mind Mach 30(1):99–120

    Article  Google Scholar 

  33. IEEE European Public Policy Initiative (2017) Artificial intelligence: calling on policy makers to take a leading role in setting a long-term AI strategy. IEEE Position Statement. https://www.ieee.org/content/dam/ieee-org/ieee/web/org/about/european-public-policy/artificial_intelligence.pdf

  34. International Telecommunication Union (2017) AI for good: global summit. Geneva, 7–9 June 2017. https://www.itu.int/en/ITU-T/AI/Pages/201706-default.aspx

  35. Jasanoff S (2016) The ethics of invention: technology and the human future. W.W. Norton

    Google Scholar 

  36. Jobin A, Ienca M, Vayena E (2019) The global landscape of AI ethics guidelines. Nat Mach Intell 1(9):389–399

    Article  Google Scholar 

  37. Kavuri AS, McKibbin WJ (2017) Technology and leisure: macroeconomic implications. In: CAMA working paper, No. 43/2017

    Google Scholar 

  38. Levi-Faur D (2011) From big government to big governance? Jerusalem paper in regulation and governance, no 35

    Google Scholar 

  39. Levi-Faur D (2012) The Oxford handbook of governance. Oxford University Press, Oxford

    Book  Google Scholar 

  40. Lozano JM, Albareda L, Ysa T, Roscher H, Marcuccio M (2006) Governments and corporate social responsibility: public policies beyond regulation and voluntary compliance. Palgrave, Basingstoke

    Google Scholar 

  41. Lu Y, Zhou Y (2021) A review on the economics of artificial intelligence. Wiley J Econ Surv 35:1045–1072. https://doi.org/10.1111/joes.12422

    Article  Google Scholar 

  42. Mazzucato M (2013) The entrepreneurial state. Debunking public vs. private sector myths. Anthem Press, London

    Google Scholar 

  43. MGI (2017) A future that works: Automation, employment, and productivity. Technical Report. McKinsey Global Institute. Retrieved from https://www.mckinsey.com/∼/media/McKinsey/Global%20Themes/Digital%20Disruption/Harnessing%20automation%20for%20a%20future%20that%20works/MGI-A-future-that-works_Full-report.ashx

    Google Scholar 

  44. Mushtaque A (2023) List of 55 artificial intelligence companies in USA (yahoo.com). Accessed 1 Sept 2023

    Google Scholar 

  45. Overskeid G (2007) Looking for skinner and finding Freud. Am Psychol 62:590–595. [CrossRef]

    Google Scholar 

  46. Paspatis I, Tsohou A (2023) How to influence privacy behavior using cognitive theory and respective determinant factors. J Cybersecur Priv 3:396–415. https://doi.org/10.3390/jcp3030020

    Article  Google Scholar 

  47. Peachey K (2022) UK house prices forecast to fall for the next two years. BBC News. https://www.bbc.co.uk/news/business-63676119. Accessed 1 Sept 2023

  48. Poel IV (2016) An ethical framework for evaluating experimental technology. Sci Eng Ethics 22(3):667–686

    Article  Google Scholar 

  49. Quinn W, Turner JD (2020) A global history of financial bubbles. Cambridge University Press. https://doi.org/10.1017/9781108367677.009 [Opens in a new window]

  50. Radu R (2021) Steering the governance of artificial intelligence: national strategies in perspective. Policy Soc 40(2):178–193

    Article  Google Scholar 

  51. Ran B, Qi H (2019) The entangled twins: power and trust in collaborative governance. Admin Soc 51(4):607–636

    Article  Google Scholar 

  52. Rêgo de Almeida PG, Denner dos Santos C, Farias JS (2021) Artificial intelligence regulation: a framework for governance. Ethics Inf Technol 23:505–525. https://doi.org/10.1007/s10676-021-09593-z

    Article  Google Scholar 

  53. Rein M, Schon D (1996) Frame-critical policy analysis and frame-reflective policy practice. Knowl Policy Int J Knowl Transf Utiliz 9(1):85–104

    Article  Google Scholar 

  54. Rhodes RAW (2007) Understanding governance: ten years on. Organ Stud 28:1243

    Article  Google Scholar 

  55. Rittel HWJ, Webber MM (1973) Dilemmas in a general theory of planning. Policy Sci 4:155–169

    Article  Google Scholar 

  56. Roberts NC (2000) Wicked problems and network approaches to resolution. Int Pub Manage Rev 1(1):1–19

    Google Scholar 

  57. Saniee I, Kamat S, Prakash S, Weldon M (2017) Will productivity growth return in the new digital era? Bell Labs Tech J 22:1–18. https://ieeexplore.ieee.org/document/7951155

  58. Scherer MU (2016) Regulating artificial intelligence systems: risks, challenges, competences and strategies. Harvard J Law Technol 29(2):354–398

    Google Scholar 

  59. Schuppert GF (2005) Governance-Forschung. Nomos, Baden-Baden

    Google Scholar 

  60. Shane-Simpson C, Manago A, Gaggi N, Gillespie-Lynch K (2018) Why do college students prefer Facebook, Twitter, or Instagram? Site affordances, tensions between privacy and self-expression, and implications for social capital. Comput Hum Behav 86:276–288. [CrossRef]

    Google Scholar 

  61. Stilgoe J (2015) Experiment earth. Responsible innovation in geoengineering. Routledge, Abingdon

    Book  Google Scholar 

  62. Stilgoe J (2020) Who’s driving innovation? New technologies and the collaborative state. Palgrave Macmillan, Cham

    Book  Google Scholar 

  63. Stilgoe J, Owen R, Macnaghten P (2013) Developing a framework for responsible innovation. Res Policy 42(9):1568–1580

    Article  Google Scholar 

  64. Taeihagh A (2021) The governance of Artificial Intelligence. Policy Soc 40(2):137–157

    Article  Google Scholar 

  65. Ulnicane I, Knight W, Leach T, Stahl BC, Wanjiku W-G (2021) Framing governance for a contested emerging technology: insights from AI policy. Policy Soc 40(2):158–177. https://doi.org/10.1080/14494035.2020.185580

    Article  Google Scholar 

  66. Vesnic-Alujevic L, Nascimento S, Polvora A (2020) Societal and ethical impacts of artificial intelligence: critical notes on European policy frameworks. Telecommun Policy 44(6):101961

    Article  Google Scholar 

  67. Villani C (2018) For a meaningful artificial intelligence. Towards a French and European Strategy. https://www.jaist.ac.jp/~bao/AI/OtherAIstrategies/MissionVillani_Report_ENG-VF.pdf.

  68. Vinnova (2018) Artificial intelligence in Swedish business and society. https://www.vinnova.se/publikationer/artificial-intelligence-in-swedish-business-and-society/

  69. Weinman J (1990) Health psychology: progress. In: London UK (ed) Perspectives, and prospects, current developments in health psychology. Hardwood Academic Publishers, pp 9–33

    Google Scholar 

  70. Ysa T, Albareda A, Forberger S (2014) Governance of addictions: European public policies. Oxford University Press, Oxford

    Book  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Anglia Ruskin University, Cambridge, England

    Gordon Bowen

  2. Northumbria University, Newcastle Upon Tyne, UK

    Janakan Sothinathan

  3. Skeduler.AI, California, USA

    Richard Bowen

Authors
  1. Gordon Bowen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Janakan Sothinathan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Richard Bowen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Gordon Bowen .

Editor information

Editors and Affiliations

  1. Northumbria University London, London, UK

    Hamid Jahankhani

  2. School of Business & Law, Anglia Ruskin University, Chelmsford, Essex, UK

    Gordon Bowen

  3. School of Architecture, Comp. and Eng., University of East London, London, UK

    Mhd Saeed Sharif

  4. London, UK

    Osama Hussien

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Bowen, G., Sothinathan, J., Bowen, R. (2024). Technological Governance (Cybersecurity and AI): Role of Digital Governance. In: Jahankhani, H., Bowen, G., Sharif, M.S., Hussien, O. (eds) Cybersecurity and Artificial Intelligence. Advanced Sciences and Technologies for Security Applications. Springer, Cham. https://doi.org/10.1007/978-3-031-52272-7_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-52272-7_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-52271-0

  • Online ISBN: 978-3-031-52272-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation