DB FPX 8410 Assessment 5
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DB FPX 8410 Assessment 5

The Future of Work

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Capella University

DB-FPX8410 Addressing Problems in Human Resources and Compliance

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    Introduction

    CapraTek is a technology company that applies artificial intelligence (AI) and automation and realize significant operational modifications at the mid-level. There are a number of complex legal issues and ethical doubts that are created due to the increase in efficiency as a result of the transition. The main objective is to transform the capabilities of the staff into electronic system preparedness.

    The business change should comply with the federal labor laws and ethical standards. The distinction between ethical responsibility and compliance must always be known. The labor force displacement must be solved by developing an inclusive workplace within the company. This paper examines obstacles and strategic measures that should be implemented to transform CapraTek into a successful organization in carrying out a workforce transformation. 

    Legal and Ethical challenges

    The introduction of AI and automation system to CapraTek raises considerable legal issues based on the employment requirement, discrimination regulations, and employee rights provisions. Participation in Fair Labor Standards Act (FLSA) and Equal Employment Opportunity (EEO) programs is required among the team members who join reskilling programs to avoid unfairness towards the groups of employees (U.S. Department of Labor, 2023). The compliance with the Worker Adjustment and Retaining Notification (WARN) Act is required to be observed in organizations due to the fact that this federal statute obliges businesses to give prior notice to their employees of a layoff occasioned by an automated system (U.S. Department of Labor, 2024).

    The use of employees data by AI is constrained by data privacy laws that comprise the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) (Tolson, 2024). Possible wrongful termination claims on employees who may be displaced without providing them fair retraining opportunities also form part of the legal risk. An example is that the International Business Machines (IBM) company was legally questioned due to its alleged discrimination of older people when it was downsizing and expanding occupation-related positions of AI (Smith, 2023). Companies such as Amazon have been accused of using automated hiring, which discriminates against women unintentionally. Thus, the Leaders in CapraTek should work out legally permissible reskilling policies to check the risks.

    Reskilling should be ethically aimed at being fair, transparent, and beneficial to the employees. The AI-based training programs must be equally accessible to all workers with no form of bias that may lock out vulnerable groups (Varsha, 2023). Transparency will help to make the employees aware of how automation will affect their jobs and employment opportunities in the future (Holzer, 2022). The American telephone and Telegraph Company (AT&T) also introduced the reskilling initiative for $1 billion, which allowed employees to become upskilled instead of being retrenched (Mastria, 2020). The CapraTek leadership will have to embrace ethical models that will unite technological progress and employee retention.

    Differentiating Ethical Considerations from Legal and Regulatory Frameworks

    HR management has legal and regulatory frameworks that have mandatory rules that the organizations are expected to abide by, and the ethical aspect deals with moral responsibility, other than the legal ones. Flaws like FLSA and the EEO regulations guarantee fair working environments and prevent discrimination (U.S. Department of Labor, 2023). Compliance necessitates that organizations adhere to the rules to prevent penalties and lawsuits.

    Ethical considerations, nonetheless, are not limited to compliance but cover the aspects of fairness, the well-being of employees, and corporate social responsibility (Bocean et al., 2022). The employment of AI-based hiring tools is a legal practice of many companies, but there are ethical issues associated with the biases in automated decision-making. IBM, in its turn, met the labor regulations but was still criticized due to its supposed preference towards younger employees over older ones (Smith, 2023). Managers in CapraTek should understand that to have a fair workplace, they are at times obliged to go above what the law stipulates.

    Fair and transparent policies can help organizations ensure that HR practices are aligned with ethical principles and legal requirements. As Albassam (2023) states, anti-discrimination laws should be followed by companies when hiring and assessing the performance of their staff through AI-based tools, as well as auditing them to identify any biases. The proactive activities, such as providing retraining opportunities to dislocated employees, are a show of ethical accountability even when it is not legally required (Zhao and Jakkampudi, 2023). The reskilling program implemented by AT&T offers a case in point, in which workers are given a chance to seek new positions, as opposed to unemployment (Mastria, 2020). The leaders of CapraTek are advised to incorporate ethical training into HR practices to advance responsible decisions.

    The key to finding a compromise between the legal and ethical issues is to take an active role in HR management. Microsoft and Accenture have been able to implement AI and at the same time taking care of their employees (Andrew, 2024). The availability of constant learning helps in making the workforce flexible in a digital economy. Ethical issues of bias and fairness are reduced through the use of AI in HR processes in a non-mysterious manner (Bocean et al., 2022). Their leaders will be required to adopt the protection of employee rights by setting up policies that encourage human-centered automation processes at CapraTek.Top of FormBottom of Form

    Recommendations for CapraTek

    The executives of CapraTek should adhere to all the federal labor laws when implementing AI-based reskilling initiatives to ensure the law. The company should also conduct lawful evaluations to ensure that it adheres to the provisions of FLSA and EEO (U.S. Department of Labor, 2023). People and companies are required to comply with the WARN Act and share pertinent information related to the change of employee dismissals and restructuring (U.S. Department of Labor, 2024).

    The AI-based recruitment and training software should be audited to avoid unfairness that may attract lawsuits for discrimination. Meeting the requirements of the GDPR and the CCPA, employee data privacy must be preserved. The leadership of CapraTek ought to formulate a systematic reskilling policy that is consistent with the labour laws, but in the interests of workforce retention. An aggressive legal approach reduces risk and earns the confidence of the employees in reskilling.

    To overcome ethical issues, leaders at CapraTek ought to focus on equality, openness, and employee involvement in the reskilling programs. Balanced provisions of upskilling programs are a way of ensuring that none of no employee is disadvantaged by the technological developments. The management of CapraTek needs to adopt mentorship and career coaching as a strategy to take employees through the transition processes. Retraining can be alleviated by providing financial assistance for further training or certification. The decision-making process of the AI tools should be made ethical to avoid biases (Tolson, 2024).

    Employees should be actively engaged by the company in the development of reskilling programs to achieve inclusiveness (Perkins et al., 2022). Ethical models need to focus more on job security in the long term instead of efficiency in the short term. The adjustments of fair wages should be given to those employees who are being adjusted to new positions. Ethical leadership will make the employees loyal and enhance the image of CapraTek as a responsible employer.

    A robust workforce will be developed through strategic alliances and lifelong learning initiatives in CapraTek. Partnership with universities and technical institutes may be beneficial to give the employees specific training (Zhao and Jakkampudi, 2023). The company should have training facilities that also act as its internal learning centers, which can develop a curriculum based on the organizational developments of CapraTek (Albassam, 2023). Varsha (2023) argues that AI learning platforms must continue with a simple design among employees with varying levels of technical abilities. The reskilling programs must be based on the long-term business strategy since it is the one that promotes sustainability (Albassam, 2023). To attain a responsible digital transformation of the company with a seamless flow of operations, the CapraTek leaders are advised to establish reskilling as a company culture.

    Conclusion and Reflection

    The transition of AI and automation in CapraTek will raise numerous legal and ethical issues in the area of workforce reskilling. The implementation of FLSA, EEO regulations, and other labor laws is still a requirement to evade legal repercussions (U.S. Department of Labor, 2023). The ethical responsibility of the organization involves fair behaviors that are above the legal requirements, disclosures, and a favorable environment for the staff welfare.

    Any AI-based hiring systems and training systems should be carefully monitored to ensure no discrimination takes place (Albassam, 2023). The reskilling programs are equally beneficial to society, and they safeguard workers against the risk of unemployment. These methods, when implemented strategically by the leaders of CapraTek, will result in a fair work environment in the coming few years.

    The technological transformation of workforce management with the use of AI affects all industries across the globe, such as CapraTek. Fair workforce practices are required by the organization to ensure organizational efficiency so that it can remain competitive in the market (Bocean et al., 2022). The organization depends on the HR leaders to address the complicated issues of legal concerns and employee expansion numbers. Organizations utilizing transparent reskilling practices along with equitable implementation will have workforce engagement during the alteration of the technological system (Zhao and Jakkampudi, 2023).

    Organizations have to constantly realign their training programs to the emerging trend of technology to ensure that these programs remain relevant. Human resources development leadership results in the creation of flexible employees with resilience and inclusivity.

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      References for
      DB FPX 8410 Assessment 5

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        Albassam, W. A. (2023). The power of artificial intelligence in recruitment: An analytical review of current AI-based recruitment strategies. International Journal of Professional Business Review8(6), 3–7. https://doi.org/10.26668/businessreview/2023.v8i6.2089

        Andrew. (2024). Accenture, Microsoft, and Avanade help enterprises reinvent business functions and industries with generative AI and Copilot. Accenture.com. https://newsroom.accenture.com/news/2024/accenture-microsoft-and-avanade-help- enterprises-reinvent-business-functions-and-industries-with-generative-ai-and-copilot

        Bocean, C. G., Nicolescu, M. M., Cazacu, M., & Dumitriu, S. (2022). The role of social responsibility and ethics in employees’ well-being. International Journal of Environmental Research and Public Health19(14), 8–12.  https://doi.org/10.3390/ijerph19148838

        Holzer, H. (2022, January 19). Understanding the Impact of Automation on workers, jobs, and wages. Brookings. https://www.brookings.edu/articles/understanding-the-impact-of-automation-on-workers-jobs-and-wages/

        Mastria, T. (2020, March 12). AT&T Invests $1 billion in employee reskilling. The Aspen Institute. https://www.aspeninstitute.org/of-interest/upskilling-news-att-invests-1-billion-employee-reskilling/

        Perkins, D. F., Davenport, K. E., Morgan, N. R., Aronson, K. R., Bleser, J. A., McCarthy, K. J., Vogt, D., Finley, E. P., Copeland, L. A., & Gilman, C. L. (2022). The influence of employment program components upon job attainment during a time of identity and career transition. International Journal for Educational and Vocational Guidance12(4), 11–21. https://doi.org/10.1007/s10775-022-09527-1

        Smith, A. (2023). IBM defends itself from allegations of age bias. Shrm.org. https://www.shrm.org/topics-tools/employment-law-compliance/ibm-defends-allegations-age-bias

        Tolson, B. (2024, April 3). Managing AI to ensure compliance with data privacy laws. Smarsh. https://www.smarsh.com/blog/thought-leadership/managing-ai-to-ensure-compliance-with-data-privacy-laws

        U.S. Department of Labor. (2023). Handy Reference Guide to the Fair Labor Standards Act. U.S. Department of Labor. https://www.dol.gov/agencies/whd/compliance-assistance/handy-reference-guide-flsa

        U.S. Department of Labor. (2024). WARN Act Compliance Assistance | U.S. Department of Labor. Www.dol.gov. https://www.dol.gov/agencies/eta/layoffs/warn

        Varsha, P. S. (2023). How can we manage biases in artificial intelligence systems – A systematic literature review. International Journal of Information Management Data Insights3(1), 3–7. https://doi.org/10.1016/j.jjimei.2023.100165

        Zhao, Y., & Jakkampudi, K. (2023). Assessing Policy Measures Safeguarding Workers from Artificial Intelligence in the United States. Journal of Computer and Communications11(11), 149–166. https://doi.org/10.4236/jcc.2023.1111008

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            Answer 1: Get a free sample for DB-FPX 8410 Assessment 5 from the DB FPX Website.

            Question 2: What is DB FPX 8410 Assessment 5?

            Answer 2: This assessment analyzes CapraTek’s AI shift, addressing legal and ethical challenges through sustainable workforce solutions.

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