Application Of Artificial Intelligence In Increasing The Effectiveness Of HR Behavior In The Era Of Industry 4.0 Systematic Literature Review Method

In the context of Sustainable Development Goals (SDGs), the integration of artificial intelligence (AI) in human resource (HR) management during the Industry 4.0 era is crucial for enhancing organizational performance. This analysis, conducted through a Systematic Literature Review (SLR), explores how AI models are applied in HR practices. The findings underscore AI's capacity to streamline HR processes such as recruitment, selection, and performance management, leveraging algorithms and automation. Moreover, AI facilitates data-driven decision-making, aiding companies in making strategic choices based on comprehensive data analyses. However, alongside its advantages, AI in HR poses challenges, including privacy concerns and risks of bias in decision-making algorithms. Thus, prudent implementation is essential, ensuring robust data protection measures and mitigating bias risks to safeguard employee welfare and uphold ethical standards. By addressing these challenges thoughtfully, companies can harness AI's potential to optimize HR practices, thereby advancing towards their business objectives in the Industry 4.0 era within the framework of sustainable development. This streamlined approach ensures that AI adoption in HR aligns with SDG principles, promoting inclusive growth and ethical use of technology to foster sustainable business practices.