91传媒

Theme:

Education and Research

Category:

Education and Research This activity is for Research active staff and would be particularly useful to Early Career Researchers.

This session will be DELIVERED VIRTUALLY - joining instructions will be provided beforehand.

About this course:

Many researchers are already using AI but may lack clarity on data safety, institutional guidelines and the risks of trusting AI-generated content uncritically.

This session addresses the ethical and practical dimensions of responsible AI use in research contexts.

Learning outcomes:

As a result of attending this course, you will be able to:.

- identify data sharing and confidentiality risks when using AI tools in research.

- apply institutional AI policies and guidelines to your own practice.

- recognise bias and hallucination in AI-generated content.

- understand the implications of AI use for research integrity.

- evaluate AI outputs critically rather than trusting them uncritically.

Who should attend this course:

The course is specifically designed Research active staff and would be particularly useful to Early Career Researchers who are already using, or considering using, AI tools in their research and want clarity on data safety, institutional guidance and responsible practice.

If you have accessibility requirements, please contact researcherdevelopment@exeter.ac.uk in advance to discuss further.

Presenter(s):

This session is delivered by Dr Naomi Tyrrell.

Dr Naomi Tyrrell is an ICF-accredited coach, trainer and researcher with over 20 years' experience supporting people in universities, research organisations and non-profits, and four years of delivering AI training to researchers.

A former academic (PhD, 40+ publications), she places ethics at the centre of all her AI training and is the founder of Alt Ac Careers.

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Before the course:

No preparation is required for this course.

A joining link will be provided beforehand.

What Previous Participants Have Said About the Course: "Dr Naomi Tyrrell is a regular and trusted contributor to both the ERA and C-DICE programmes.

Recently she has provided on-line workshops for us across effective use of Gen AI in research.

Naomi's sessions are thoughtful, well-paced and full of useful content.

I highly recommend her to anyone looking for insightful, high-quality support and facilitation".

Dr Neil Radford, Energy Research Accelerator (ERA) Skills Manager.

Learning provider:

This course is administered by Researcher Development; please contact researcherdevelopment@exeter.ac.uk for more details.

If you register for any of our sessions, it is expected that you will attend.

If you are not able to attend please log in to the `iTrent' online system to remove your name from the relevant activity before it is due to take place.

You will be expected you to attend for the whole session and for ease of administration, attendance registers will be taken at the end of each session.

Should you need to leave a session early or you experience ongoing technical issues, please email ResearcherDevelopment@exeter.ac.uk.