Leveraging AI for Current Research Information Systems: Opportunities and Challenges.

Integrating Artificial Intelligence (AI) into Current Research Information Systems (CRIS) offers significant opportunities to enhance research management. This paper explores AI's potential to automate data handling, improve analytical capabilities, and enhance user experiences within CRIS. Key areas of impact include data enrichment, advanced information retrieval, trend analysis, and predictive analytics. The paper also addresses the challenges and ethical considerations of AI integration, such as data privacy, security, and algorithmic bias. Insights from a Live Poll at the CRIS2024 conference reveal high familiarity with AI among participants, optimism about its potential, and recognition of implementation challenges. By overcoming these obstacles, AI can transform CRIS, making research management more efficient and effective. The paper concludes by advocating for collaboration and dialogue to guide the responsible integration of AI in CRIS, ensuring alignment with stakeholder interests. [ABSTRACT FROM AUTHOR]