Responsible AI in research for supervisors workshop

Artificial intelligence (AI) tools and technologies are increasingly used in research, e.g. data collection and generation, analysis, interpreting results and writing. Whilst there can be significant benefits, responsible use of AI requires researchers to also understand the risks and limitations of these tools.

Attendance counts toward the supervision development activities required for the five-yearly reaccreditation of doctoral supervisors.

For all research staff who supervise students undertaking research.

Mode of delivery: Online

Dates:

• Tuesday 24 February, 1-2.30pm
• Monday 13 July, 1-2.30pm
• Thursday 15 October, 2-3.30pm

This introductory workshop aims to enable supervisors to:

• Describe how AI tools work and define important terminology.
• Describe the potential benefits and the risks and limitations of using AI when conducting research.
• Support their students to apply relevant University policies and processes, including the School of Graduate Studies' proposed Guidelines for the use of AI in doctoral research.
• Guide students to critically evaluate the potential inclusion of AI tools for conducting research.

View the workshop materials.

The AI in conducting research workshop series includes:

• Responsible AI in research
• AI for literature reviews
• Introduction to AI-assisted workflows for qualitative analyses
• Embedding Large Language Models (LLMs) into qualitative research workflows

Supervisors and postdoctoral students are encouraged to engage with each other across the University research community, including workshop instructors and CeR staff.

Research Data Support Services
Email: researchdata@auckland.ac.nz

Laura Armstrong
eResearch Engagement Lead
Phone: +64 9 923 1597
Email: l.armstrong@auckland.ac.nz

Chris Seal
Senior eResearch Solutions Specialist, Centre for eResearch
Email: c.seal@auckland.ac.nz