References
Almeida, D., Shmarko, K., & Lomas, E. (2021). The ethics of facial recognition technologies, surveillance, and accountability in an age of artificial intelligence: a comparative analysis of US, EU, and UK regulatory frameworks. AI and Ethics, 2(3), 377–387. https://doi.org/10.1007/s43681-021-00077-w
Ara, A., Sharma, A., & Yadav, D. (2022). An efficient privacy-preserving user authentication scheme using image processing and blockchain technologies. Journal of Discrete Mathematical Sciences and Cryptography, 25(4), 1137–1155. https://doi.org/10.1080/09720529.2022.2075089
Alanazi, F., Alenezi, M. (2024). Driving the future: Leveraging digital transformation for sustainable transportation. Journal of Infrastructure, Policy and Development, 8(3), 3085. https://doi.org/10.24294/jipd.v8i3.3085
Arner, D.W., Barberis, J., Buckley, P.R. (2017). FinTech, RegTech, and the Reconceptualization of Financial Regulation. Northwestern Journal of International Law and Business, 37, 371-413.
Barefoot, J.A. (2020). Digitalizing Financial Regulation: RegTech as a Solution for Regulatory Inefficiency and Ineffectiveness. Available online: https://www.hks.harvard.edu/centers/mrcbg/publications/awp/awp150 (accessed on 5 December 2023).
Beauchamp, T.L. (2001). Childress JF Principles of biomedical ethics, 7th ed. Oxford University Press.
Bertino, E., Kundu, A., & Sura, Z. (2019). Data Transparency with Blockchain and AI Ethics. Journal of Data and Information Quality, 11(4), 1–8. https://doi.org/10.1145/3312750
Bivins, T. H. (2006). Responsibility and Accountability. Ethics in Public Relations: Responsible Advocacy, 19–38. https://doi.org/10.4135/9781452204208.n2
Bolton, M., & Mintrom, M. (2023). RegTech and creating public value: opportunities and challenges. Policy Design and Practice, 6(3), 266–282. https://doi.org/10.1080/25741292.2023.2213059
Bovens, M. (2010). Two Concepts of Accountability: Accountability as a Virtue and as a Mechanism. West European Politics, 33(5), 946–967. https://doi.org/10.1080/01402382.2010.486119
Brand, V. (2020). Corporate Whistleblowing, Smart Regulation and Regtech: The Coming of the Whistlebot? SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3698446
Bridges, R. (On the Application Of) v South Wales Police. (2020). EWCA Civ 1058. Available online: https://www. bailii.org/ew/cases/EWCA/Civ/2020/1058.Html (accessed on 5 December 2023).
Burnes, B. (1996). Managing change. In: A strategic approach to organizational dynamics, 2nd ed. Pitman Publishing.
Burrell, J. (2016). How the machine ‘thinks’: Understanding opacity in machine learning algorithms. Big Data & Society, 3(1), 205395171562251. https://doi.org/10.1177/2053951715622512
Carnell, R.S., Macey, J.R., Miller, G.P., Conti-Brown, P. (2021). The Law of Financial Institutions, 7th ed. Aspen.
Cavoukian, A. (2006). Privacy by design: The 7 foundational principles. Available online: /iapp.org/media/pdf/resource_center/pbd_implement_7found_principles.pdf (accessed on 5 December 2023).
Clarke, R. (2020). RegTech Opportunities in the Platform-Based Business Sector.
d’Alessandro, B., O’Neil, C., & LaGatta, T. (2017). Conscientious Classification: A Data Scientist’s Guide to Discrimination-Aware Classification. Big Data, 5(2), 120–134. https://doi.org/10.1089/big.2016.0048
European Commission. (2016). Open innovation, open science, open to the World. Brussels, Belgium: European Union Publication. Available online: http://bookshop.europa.eu/en/open-innovationopen-science-open-to-the-world-pbKI0416263/ (accessed on 5 December 2023).
Eva, M., Anna Rose, W. (2019). Regulatory technology: Replacing law with computer code. European Business Organization Law Review. pp. 1-29.
Fagan, F. (2016). Big Data Legal Scholarship: Toward a Research Program and Practitioner’s Guide. Virginia Journal of Law & Technology, 20(1): 1-81.
Felzmann, H., Villaronga, E. F., Lutz, C., et al. (2019a). Transparency you can trust: Transparency requirements for artificial intelligence between legal norms and contextual concerns. Big Data & Society, 6(1), 205395171986054. https://doi.org/10.1177/2053951719860542
Felzmann, H., Fosch-Villaronga, E., Lutz, C., et al. (2019b). Robots and Transparency: The Multiple Dimensions of Transparency in the Context of Robot Technologies. IEEE Robotics & Automation Magazine, 26(2), 71–78. https://doi.org/10.1109/mra.2019.2904644
Felzmann, H., Fosch-Villaronga, E., Lutz, C., et al. (2020). Towards Transparency by Design for Artificial Intelligence. Science and Engineering Ethics, 26(6), 3333–3361. https://doi.org/10.1007/s11948-020-00276-4
Frauenberger, C., Rauhala, M., & Fitzpatrick, G. (2016). In-action ethics: Interact Computing System. Available online: 10.1093/iwc/iww024 (accessed on 5 December 2023).
Froomkin, A.M. (1995). Reinventing the Government Corporation. University of Illinois Law Review.
Google Spain decision of the Court of Justice of EU. (2014). Available online: https://curia.europa.eu/jcms/upload/docs/application/pdf/2014-05/cp140070en.pdf (accessed on 5 December 2023).
Howard, A., & Borenstein, J. (2018). The Ugly Truth About Ourselves and Our Robot Creations: The Problem of Bias and Social Inequity. Science and Engineering Ethics, 24(5), 1521–1536. https://doi.org/10.1007/s11948-017-9975-2
Haraway, D. (1988). Situated Knowledges: The Science Question in Feminism and the Privilege of Partial Perspective. Feminist Studies, 14(3), 575. https://doi.org/10.2307/3178066
Harding, S. (1992). After the neutrality ideal: science, politics, and strong objectivity. Soc Res, 59, 67-587.
IMY. (2019). Supervision pursuant to the General Data Protection Regulation (EU) 2016/679—facial recognition used to monitor the attendance of students. Stockholm.
IMY. (2021). Police unlawfully used facial recognition app. Available online: https://www.imy.se/nyheter/police-unlawfully-used-facialrecognition-app/ (accessed on 5 December 2023).
Israel, M. (2018). Ethical Imperialism? Exporting Research Ethics to the Global South. The SAGE Handbook of Qualitative Research Ethics, 89–100. https://doi.org/10.4135/9781526435446.n6
Jabotinsky, Y.H., Jabotinsky, Y.H. (2017). The Federal Structure of Financial Supervision: A Story of Information-Flow. Stanford Journal of Law, Business & Finance, 22(1), 52-92.
Kazim, E., & Koshiyama, A. (2019). Data Ethics Principles: A Comment on the House of Lords Report ‘Regulating in a Digital World.’ SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3581754
Kamiran, F., Žliobaite, I. (2013). Explainable and Non-explainable Discrimination in Classification. Springer.
Khan, A., Hassan, M. K., Paltrinieri, A., et al. (2020). A bibliometric review of takaful literature. International Review of Economics & Finance, 69, 389–405. https://doi.org/10.1016/j.iref.2020.05.013
Kleinberg, J., Ludwig, J., Mullainathan, S., et al. (2018). Discrimination in the Age of Algorithms. Journal of Legal Analysis, 10, 113–174. https://doi.org/10.1093/jla/laz001
Konina, A. (2020). Regulating Regtech: The Benefits of a Globalized Approach. Lex Electronica. Available online: https://ssrn.com/abstract=3914215 (accessed on 5 December 2023).
Levitin, A. J. (2013). The Consumer Financial Protection Bureau: An Introduction. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2199678
Leonelli, S. (2016). Locating ethics in data science: responsibility and accountability in global and distributed knowledge production systems. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 374(2083), 20160122. https://doi.org/10.1098/rsta.2016.0122
Lmeida, D., Shmarko, K., Lomas, E. (2022). The Ethics of Facial Recognition Technologies, Surveillance and Accountability in an Age of Artificial Intelligence: A Comparative Analysis of USA, EU and UK Regulatory Frameworks. AI and Ethics, 2, 377–387.
Loiacono, G., & Rulli, E. (2022). ResTech: innovative technologies for crisis resolution. Journal of Banking Regulation, 23(3), 227–243. https://doi.org/10.1057/s41261-021-00154-4
Loosman, I., & Nickel, P. J. (2022). Towards a Design Toolkit of Informed Consent Models Across Fields: A Systematic Review. Science and Engineering Ethics, 28(5). https://doi.org/10.1007/s11948-022-00398-x
Maglaras, L., Almomani, I. (2023). Digitization of healthcare sector: A study on privacy and security concerns. Korean Institute of Communications Information Sciences.
Masciandaro, D., & Romelli, D. (2016). Banking Supervision and External Auditors: What Works Best? SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2895999
Mehrabi, N., Morstatter, F., Saxena, N., et al. (2022). A Survey on Bias and Fairness in Machine Learning. ACM Computing Surveys, 54(6), 1–35. https://doi.org/10.1145/3457607
Meijer, A. (2014). Transparency. In: Bovens, M., Goodin, R.E., Schillemans, T. (editors). The Oxford handbook of public accountability. Oxford University Press.
Moher, D., Liberati, A., Tetzlaff, J., Altman, D.G. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. BMJ, 339(7716), 332–336. https://doi.org/10.1136/bmj.b2535
Mintzberg, H. (1979). The structuring of organizations. Prentice-Hall.
Monge, P.R. (1993). (Re)designing dynamic organizations. in: Huber GP, Glick WH. eds. Organizational change and redesign; Ideas and insights for improving performance. Oxford University Press. pp. 323-345.
Mustard, D. B. (2003). Reexamining Criminal Behavior: The Importance of Omitted Variable Bias. Review of Economics and Statistics, 85(1), 205–211. https://doi.org/10.1162/rest.2003.85.1.205
Nystrom, P.C., Starbuck, W.H. (1981). Handbook of organizational design. In: Adapting organizations to their environments. Oxford University Press.
Oswald, M., Grace, J., Urwin, S., et al. (2018). Algorithmic risk assessment policing models: lessons from the Durham HART model and ‘Experimental’ proportionality. Information & Communications Technology Law, 27(2), 223–250. https://doi.org/10.1080/13600834.2018.1458455
Packin, G.N. (2018). RegTech, compliance and Technology Judgement Rule. Chicago-Kent Law Review, 93(1), 193-218.
Remus, D., Levy, F.S. (2017). Can Robots be Lawyers? Computers, Lawyers and the Practice of Law. Georgetown Journal of Legal Ethics, 30(3), 501–511.
Rittel, H. (1972). On the planning crisis; Systems analysis of the first and second generation. Bedrifts Okonomen, 8, 309-396.
Sanders, J. (2017). Break from Tradition: Questioning the Primacy of Self-Regulation in American Securities Law. Michigan Business & Entrepreneurial Law Review, 7.1, 93. https://doi.org/10.36639/mbelr.7.1.break
Sarabdeen, J. (2022). Protection of the rights of the individual when using facial recognition technology. Heliyon, 8(3), e09086. https://doi.org/10.1016/j.heliyon.2022.e09086
Schein, E. (1987). Organizational culture and leadership. Jossey-Bass.
Schön, D.A. (1987). Educating the reflective practitioner; Toward a new design for teaching and learning in the professions. Jossey-Bass Publishers.
Siering, M. (2022). Explainability and fairness of RegTech for regulatory enforcement: Automated monitoring of consumer complaints. Decision Support Systems, 158, 113782. https://doi.org/10.1016/j.dss.2022.113782
The EU General Data Protection Regulation (GDPR). (2018). Available online: https://eugdpr.org/ (accessed on 5 December 2023).
Thompson, J.D. (1967). Organizations in action. McGraw.
Triandis, H.C. (1966). Notes on the design of organizations. In: Approaches to organizational design. University of Pittsburg Press.
Tschorsch, F., & Scheuermann, B. (2016). Bitcoin and Beyond: A Technical Survey on Decentralized Digital Currencies. IEEE Communications Surveys & Tutorials, 18(3), 2084–2123. https://doi.org/10.1109/comst.2016.2535718
Visscher, K. (2006). Capturing the competence of management consulting work. Journal of Workplace Learning, 18(4), 248–260. https://doi.org/10.1108/13665620610665845
Visscher, K., Fisscher, O.A.M. (2012). Towards a new generation of organizational design. University of Twente, Enschede.
Wachter, S., Mittelstadt, B. (2019). A right to reasonable inferences: Re-thinking data protection law in the age of big data and AI. Columbia Business Law Review, 7(2), 494–620.
Wachter, S., Mittelstadt, B., & Floridi, L. (2017). Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation. International Data Privacy Law, 7(2), 76–99. https://doi.org/10.1093/idpl/ipx005
Wagner, B. (2020). Accountability by design in technology research. Computer Law & Security Review, 37, 105398. https://doi.org/10.1016/j.clsr.2020.105398
Wang, X.L. (2024). Managing third party accountability in human services contracting: Contract accountability in human services. Journal of Infrastructure, Policy and Development, 8(2), 2622. https://doi.org/10.24294/jipd.v8i2.2622
Waye, V.C. (2019). Regtech: A New Frontier in Legal Scholarship. Adelaide Law Review, 40(1), 363–386.
Weick, K.E. (1993). Organizational redesign as improvisation. In: Organizational change and redesign; Ideas and insights for improving performance. Oxford University Press.
Wieringa, M. (2020). What to account for when accounting for algorithms. A systematic literature review on algorithmic accountability. In: Proceedings of the 2020 conference on fairness, accountability, and transparency.
Yang, Y.P.A, Tsang, C.Y. (2019). RegTech and the New Era of Financial Regulators: Envisaging More Public-Private Partnership Models of Financial Regulators. University of Pennsylvania Journal of Business Law, 21(2), 1-51.
Zarsky, T.Z. (2013). Transparent predictions. University of Illinois Law Review, 4, 1503–1570.
Zerilli, J., Knott, A., Maclaurin, J., et al. (2019). Transparency in Algorithmic and Human Decision-Making: Is There a Double Standard? Philosophy & Technology, 32(4), 661–683. https://doi.org/10.1007/s13347-018-0330-6
Zetzsche, D. A., Arner, D. W., Buckley, R. P., et al. (2019). The Future of Data-Driven Finance and RegTech: Lessons from EU Big Bang II. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3359399