Artificial Intelligence in People Management

<p>This study examined the integration of artificial intelligence (AI) into people management practices, with particular emphasis on employee well-being, dignity, and organizational health. Using a systematic literature analysis of peer-reviewed articles retrieved from the Scopus database (2005–2025), the study identified important literature streams, thematic structuring, key drivers, and emerging ethical concerns associated with AI adoption in people management. The findings revealed that AI significantly enhanced operational efficiency in recruitment, training, workforce planning, and performance management; however, it simultaneously introduced challenges related to algorithmic bias, privacy concerns, employee surveillance, and job insecurity. The analysis further demonstrated that while AI-supported systems reduced administrative burden and improved decision accuracy, their impact on employee dignity and psychological well-being depended heavily on governance mechanisms and ethical safeguards. The study addressed an important research gap by integrating AI applications with a humanistic management perspective, highlighting the need for responsibility-centered frameworks that balance technological advancement with fairness, transparency, and employee-centered values.</p>