The rapid emergence of artificial intelligence (AI)-based tools has the potential to transform the way researchers work in academia.

However, the power and potential of AI tools, particularly generative AI, also bring challenges, such as uncertainty about their responsible and ethical use and a lack of appropriate training for their integration into research workflows.

Addressing these challenges is crucial to ensuring that researchers can fully exploit the potential of AI while maintaining high ethical standards.

This workshop offers a hands-on learning experience focusing on a wider variety of AI tools, their ethical implications and their practical applications. The aim is to promote the responsible and efficient use of AI tools in research and science.

Included topics

• Introduction to AI with a focus on generative AI
• Ethical considerations and responsible use (e.g. data privacy, address biases, best practices)
• Guidelines from major journals and institutions on using AI tools in research and academia
• Crafting effective prompts for generative AI

• Practical applications of AI tools in research and academia, e.g.

  - Literature review assistance

  - Data analysis and interpretation

  - Manuscript, grant proposal and conference presentation support

  - Brainstorming research hypotheses

  - Preparing for defence or interviews

  - Developing training material

• Benefits and limitations of implementing AI tools in research and academia
• Future developments and possibilities