IT’s Crucial Role in Establishing Good Governance
Ethics is perceived as a crucial factor to establish good governance. A crucial role is played by information technology (IT) to help all modern organizations in achieving their goals. It has become quite crucial to create as well as implement efficient compliance within IT in all organizations (Kuziemski & Misuraca, 2020). IT possesses the potential in being a crucial driver of all organizations’ economic wealth. Within several enterprises, IT is a vital asset for providing several opportunities for obtaining a competitive advantage. In addition, a huge section of all organizations’ market value has transitioned to intangible from tangible. However, in spite of huge investments along with high risks as well as challenges associated with IT, the focus of the boards is on the strategic risks along with business strategy. IT governance could be stated as the structure of processes as well as relationships for controlling the organizations for achieving all organizational objectives by adding values and balancing the risks of IT along with its processes (Theodorou & Dignum, 2020). The mechanisms of IT governance include the existence of the IT steering committee, senior management’s involvement in IT, and centralization of all activities of decision making in IT.
Ethics among IT professionals have become a huge issue nowadays in the climate of more reliance upon computerized systems. IT enriches cultures and enhances time by expanding information’s distribution, changes the approach individuals work, and relieves pressures upon urban areas with enabling individuals from remote-site locations, along with the approach individuals work with each other (Yeung, 2019). The ethical theories help to provide procedures as well as categories to determine what is relevant ethically. However, there exist several severe issues due to the lack of available support to the technologists having ethical issues about those systems being developed by them. Given that every intelligent information technology, robotics, along with other technologies are quite ubiquitous along with impact directly upon the daily lives of individuals, it is quite straightforward for them that care-giving must be the primary concern to all technology developers over the community, the individual, along with the universal context. The existence of the information systems within the ethical dilemma might influence all ethical processes of decision-making (Henman, 2020). Communication systems’ presence is a positive influence upon the compliance’s culture along with ethics in IT.
Effective management of ethical compliance has many advantages. As employees’ legal along with ethical awareness increase, all employees tend in asking questions correctly. It also influences the employees to report the violations to the management and contributes to the transparency of the process within the organization. It also increases the commitment of the employees as the ethical compliance’s culture helps to create value congruence, which generates some sense of community as well as an organizational commitment between the employees (Steckler & Clark, 2019). A crucial role is placed by the senior management in the practices to create an ethic along with compliance’s culture for all IT processes in the organizations. It is crucial for the top management of the organizations to promote ethical compliance’s awareness in the organizations. The senior management’s involvement sends the messages which help in aligning the actions of the employees to all organizational goals. Crucial roles are played by the organizational leaders to communicate as well as demonstrate ethical values’ importance to the stakeholders of the organization. The senior management’s involvement in IT decisions as well as operations are quite crucial to creating compliance’s culture or ethics (Winfield, et al., 2019). Hence, senior management’s involvement in IT would influence compliance’s culture or ethics in IT positively.
Mechanisms of IT Governance
Table 1
Executive compensation
Risk management
Auditing
Structure and composition of board of directors
CEO selection along with termination decisions
Organized programs of ethics
CEO’s role in the board decisions
Stakeholder participation
Integrity of all financial reports
Regarding IT Governance, there is a need for promoting ethical compliance’s culture within the organizations for achieving IT governance efficiently. Such an environment is quite useful to prevent as well as to detect conduct which might endanger IT governance’s objectives, along with the alignment of aims of IT and business (Ziolo, et al., 2019). Such a factor is vital to achieving the perspectives of wealth creation for efficient IT governance within the organizations. It is the responsibility of the IT strategy committee in providing insight along with advice to the organizations’ boards on topics like IT’s alignment with all business directions as well as the achievements of all strategic objectives of IT. For achieving an efficient compliance’s culture or ethics, an organization should establish some code of conduct and implement a compliance framework, such as ITIL, COSO, and COBIT. The existence of compliance’s culture or ethics within IT would influence the effectiveness level of IT governance positively (Lim & Taeihagh, 2019). The boards’ involvement more directly within IT governance ensures that all organizations are committed to establishing an efficient IT governance. In addition, the IT strategy committee’s commitment to IT governance also is quite crucial. There is a positive correlation between the IT strategy committee with the effectiveness level of the whole IT governance.
While technology’s ethics are analyzed over disciplines from engineering, law, critical management studies, and computer science, lesser attention is given to all roles that the managers, as well as organizations, play in the development, design, along with dissemination of all technologies over the communities and in the organizations. Though a crucial role is played by the organization in technology’s development, along with making associated value judgments over its use, this remains open about how to understand what organizations’ contours owe the society as this technological development’s rate accelerates (Chopra & Singh, 2018). For a few, this might seem to be self-evident that all applications along with uses of the digital technologies are value-laden in which how these technologies are commercialized helps to convey the commitments upon values. An example of the value-laden is algorithms of machine learning (ML) which power all autonomous systems. The technology of ML underlies several business decisions regarding autonomous driving in financial management, marketing, along with operations. The data on which these algorithms learn, along with rendering the decisions, is the source of all ethical challenges (Vo, et al., 2019). It is increasingly becoming accepted that all organizations which design as well as implement technologies have some moral obligations for proactively addressing the problematics assumptions and all outcomes of these new digital technologies. There exist two reasons why the responsibility rests with these organizations, which develop as well as commercialize all digital technologies. In the developing regulatory environments, all ethical issues along with social costs associated with the new technologies aren’t addressed through all other institutions.
Ethics Among IT Professionals
Greater corporate responsibilities are demanded by all new technologies as these technologies need attention to the ethics in the design phase. In addition, the choices of designs are hugely governed by the corporations. As value is implicated during the phase of technology design, value judgments are made by the developers as a part of the corporate roles. Technology’s developers, as well as engineers, inscribe the preferences and visions of how this world works (Koene, et al., 2019). Ignoring every value-laden decision within the design doesn’t make these disappear. The algorithms of ML illustrate the ways the firms could work for acknowledging as well as addressing the biases through business practices. The interpretable along with explainable algorithms need the decisions of design which carry the implications for all corporate responsibilities. If an impenetrable decision of AI is created by the design team, where the users are not able in addressing or judging the mistakes or biases, then the organization where that team works could be seen as having responsibilities for such decisions. The technology organizations operate with the nascent external oversights along with the designers also are making all value-laden decisions as a part of the work within the organizations. A central insight is that these technology-driven organizations assume a role within society which demands ethical imperatives’ consideration beyond all financial bottom lines (Mulligan, Kluttz & Kohli, 2019). Also, there exist several ethical issues which are connected closely to digital technology, like individual autonomy, privacy, knowledge, and trust. However, such issues are heightened concern when all technologies are financed with profit-motive.
Summary of Insights and Conclusion
IT’s advent, along with its features, such as data security, report generation through intelligent features of data mining, and data management, easing the flow of information within the business processes, have established the ability of IT in creating and managing information. Hence, IT is utilized in every aspect of the business by the organization worldwide. IT has become the business’s integral part along with is considered to be the strategic opportunity for achieving competitive advantages. IT’s pervasive use within several firms makes IT governance in becoming a much more efficient concern. The organizations’ growing interest is justified by all reflections of all changing roles along with IT’s relevance in the organizations and the need for ensuring this is appropriately managed.
Business ethics could place the challenges of current technology into perspective through considering business’s history along with markets behaving out of the norms, and all corrections are done over time. There exist several market actors who are impacted by digital technology’s rise. The trust of the users in the organizations could be influenced by the design as well as deployment of the technologies. The consumers might be inspired by design for overly trusting specific technologies. Such an issue creates trust’s fourth level, unique to the businesses that develop these new digital technologies.
References
Chopra, A. K., & Singh, M. P. (2018, December). Sociotechnical systems and ethics in the large. In Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society (pp. 48-53). Retrieved from https://doi.org/10.1145/3278721.3278740
Henman, P. (2020). Improving public services using artificial intelligence: possibilities, pitfalls, governance. Asia Pacific Journal of Public Administration, 42(4), 209-221. Retrieved from https://doi.org/10.1080/23276665.2020.1816188
Koene, A., Clifton, C., Hatada, Y., Webb, H., & Richardson, R. (2019). A governance framework for algorithmic accountability and transparency. Retrieved from https://doi.org/10.2861/59990
Kuziemski, M., & Misuraca, G. (2020). AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings. Telecommunications policy, 44(6), 101976. Retrieved from https://doi.org/10.1016/j.telpol.2020.101976
Lim, H. S. M., & Taeihagh, A. (2019). Algorithmic decision-making in AVs: Understanding ethical and technical concerns for smart cities. Sustainability, 11(20), 5791. Retrieved from https://doi.org/10.3390/su11205791
Mulligan, D. K., Kluttz, D., & Kohli, N. (2019). Shaping our tools: Contestability as a means to promote responsible algorithmic decision making in the professions. Available at SSRN 3311894. Retrieved from https://dx.doi.org/10.2139/ssrn.3311894
Steckler, E., & Clark, C. (2019). Authenticity and corporate governance. Journal of Business Ethics, 155(4), 951-963. Retrieved from https://doi.org/10.1007/s10551-018-3903-5 Yu, H., Shen, Z., Miao, C., Leung, C., Lesser, V. R., & Yang, Q. (2018). Building ethics into artificial intelligence. arXiv preprint arXiv:1812.02953. Retrieved from https://doi.org/10.48550/arXiv.1812.02953
Theodorou, A., & Dignum, V. (2020). Towards ethical and socio-legal governance in AI. Nature Machine Intelligence, 2(1), 10-12. Retrieved from https://doi.org/10.1038/s42256-019-0136-y
Vo, N. N., He, X., Liu, S., & Xu, G. (2019). Deep learning for decision making and the optimization of socially responsible investments and portfolio. Decision Support Systems, 124, 113097. Retrieved from https://doi.org/10.1016/j.dss.2019.113097
Winfield, A. F., Michael, K., Pitt, J., & Evers, V. (2019). Machine ethics: the design and governance of ethical AI and autonomous systems [scanning the issue]. Proceedings of the IEEE, 107(3), 509-517. Retrieved from https://doi.org/10.1109/JPROC.2019.2900622
Yeung, K. (2019). Why worry about decision-making by machine?. In Algorithmic regulation. Oxford University Press. Retrieved from https://doi.org/10.1093/oso/9780198838494.003.0002
Ziolo, M., Filipiak, B. Z., B?k, I., & Cheba, K. (2019). How to design more sustainable financial systems: The roles of environmental, social, and governance factors in the decision-making process. Sustainability, 11(20), 5604. Retrieved from https://doi.org/10.3390/su11205604
Order an Essay Now & Get These Features For Free:
Turnitin Report
Formatting
Title Page
Citation
Outline
