Influence of AI in HR Skill Optimizing

Abstract

n today's rapidly evolving global economy, Human Resources (HR) departments face intricate challenges in
ensuring employee satisfaction, enhancing productivity, and retaining top talent within a dispersed
workforce. The integration of Artificial Intelligence (AI) offers a paradigm shift in addressing these
challenges, empowering HR professionals with advanced tools for data-driven decision-making. This thesis
explores the multifaceted collaboration between AI and HR, delving into its transformative applications
across various domains. By seamlessly integrating AI algorithms, HR departments can optimize talent
acquisition processes, efficiently match candidates with job requirements, and eliminate biases inherent in
traditional recruitment methods. Moreover, this study investigates the innovative potential of AI in
mapping collaboration networks within organizations. Through network analysis techniques, such as those
facilitated by Network, HR practitioners can uncover hidden patterns of interaction beyond conventional
hierarchies. This insight fuels the development of tailored strategies for team building, communication
enhancement, and cross-functional collaboration.
The research further illuminates the capacity of AI to revolutionise training recommendations. By
harnessing user-item recommendation techniques, empowered by deep learning and word embeddings,
HR professionals can deliver personalized training pathways to employees. This not only bridges skill gaps
but also cultivates a culture of continuous learning, fostering individual growth and organizational agility.
Additionally, the research delves into AI's potential in predicting employee attrition, a critical concern for
HR departments. Through sophisticated classification models, bolstered by deep learning frameworks like
Keras and TensorFlow, AI can analyse historical and real-time data to foresee attrition trends. This foresight
enables HR to adopt proactive retention strategies, optimising workforce stability and maintaining
organizational resilience.
Ethical considerations loom large as AI permeates HR practices. In summation, this thesis unveils a dynamic
convergence of AI and HR, reshaping the contours of employee management. Through comprehensive
exploration and insightful analysis, this study illuminates the transformative potential of AI across talent
acquisition, collaboration enhancement, training recommendations, and attrition prediction, while
underscoring the ethical imperatives that should guide its implementation.