AI in Literature Reviews: Opportunities, Limitations, and Good Practices

Description

This course focuses on the role of Artificial Intelligence (AI) in the literature review process. We will explore various AI technologies that can support you in discovering, organizing, and synthesizing academic literature. You will discover how AI can streamline literature searches, enhance review quality, and support data integration across different stages of your research.
During this workshop, we will explore how AI-powered tools can assist with tasks such as filtering through the literature, summarizing key findings, and identifying research gaps and concepts. Ethical considerations, including concerns around bias, data privacy, and academic integrity in automated literature reviews, will also be discussed.
This seminar aims to equip you with practical skills and knowledge to effectively incorporate AI tools into your literature review process. Through interactive elements, live demonstrations, and group discussions, you will have the opportunity to engage with the content and explore AI’s potential in a hands-on way.

Learning goals

• Recognize the benefits and limitations of AI in the literature review process.
• Learn how to leverage different AI tools for discovering, screening, and summarizing academic literature.
• Build awareness of ethical considerations, including bias in AI outputs, data privacy, and academic integrity.
• Discuss the future role of AI in enhancing literature reviews and its implications for research quality.

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