Artificial Intelligence in Workforce Skill Development and Career Mapping

Authors

  • Samuel Johnson  Software Automation Engineer, Lululemon, Seattle, WA, USA

Keywords:

Artificial Intelligence (AI), Workforce Development, Career Mapping, Skill Gaps, Machine Learning, Predictive Analytics, Data Privacy, Algorithmic Bias, Transparency, Personalized Learning.

Abstract

AI is revolutionizing workforce skill development and career planning, essential to keep the organization competitive in the ever-changing market. This paper looks at how AI enhances the workforce’s potential by using adaptable learning paths and modeling workforce data. Some of these services include natural language processing (NLP), machine learning, and recommender systems to diagnose skills deficiency or surplus among employees and propose career paths. Using various data sources, such as performance appraisal and feedback, artificial intelligence makes it easier to give learning interventions that best fit organizational and personal employee career plans. The study concerns the ethical issues of using artificial intelligence for career advancement, such as privacy, bias, and accountability. Data privacy must be protected, and the fairness of algorithms must be ensured, or else trust will be broken and data misuse will occur. AI systems that are undoubtedly explainable can further enhance their acceptance and integration by the employees through methods such as SHAP or LIME. In addition, the concerns with ethical issues related to automated decision-making point to further consideration of protecting employee freedom while following AI guidance. By adopting AI in a sustainable and knowledge-based manner, organizations can encourage an open, interactive, and capable workforce, thus introducing long-term development in the continuously evolving world of work. The study’s results would help businesses strive to optimize their AI use to facilitate learning and address moral dilemmas.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2023-10-30

Issue

Volume 9, Issue 5, September-October-2023

Section

Research Articles

License

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Samuel Johnson, " Artificial Intelligence in Workforce Skill Development and Career Mapping" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 5, pp.394-413, September-October-2023.