Malaysia Public Sector Challenges of Implementation of Artificial Intelligence (AI)

Abstract

Artificial Intelligence (AI) has witnessed exponential growth in recent years fueled by advancements in software, hardware, and application development across diverse domains. This research utilizes a thorough analytical methodology to investigate the multifaceted concept of AI implementation in Malaysia’s public sector. It underscores the transformative potential of AI to enhance operational efficiencies yet highlights critical challenges hindering its adoption. Through a detailed examination of the Malaysian public sector’s AI landscape and previous research, our investigation identifies three key obstacles: a lack of qualified expertise, concerns over data privacy, and entrenched resistance to changes in organizational culture. The main findings suggest that despite these hurdles, the benefits of AI implementation, such as increased operational efficiency, streamlined processes, and improved public service delivery, are significant. Ultimately, this research concludes that Malaysia can navigate these challenges effectively with persistent efforts and strategic commitments. Embracing AI promises correctness advancements in public service quality, benefiting citizens and the nation’s clarity.

Keywords

• Artificial intelligence
• challenge
• framework
• public sector