AI and Research Integrity: Recommendations, Trends, and Challenges

TitleTimeRoomTeacher
Artificial Intelligence and Research Integrity: Recommendations, Trends, and Challenges29.01.2025 14:00 - 15:00 (Wed)onlineKatrin Frisch
Course Information
Course Mode: 
Online/Virtual
Language: 
English
Number of credit hours: 
1.00
Display for externals: 
Display course on overview for external visitors of the site
Description
Description: 

Since the release of ChatGPT and other generative AI applications, research institutions and other stakeholders, like research funders and publishers, have been discussing how the use of AI in research should be dealt with from the perspective of research integrity. While a consensus on some matters was quickly reached, other issues are still being debated. Due to the fast-paced nature of AI this debate will likely remain in flux for a while.
In this presentation I will look at existing recommendations and persistent challenges at the intersection of AI and RI. I will address questions of how to transparently and appropriately disclose the use of AI in publications, what to keep in mind when using AI in research and detail what is currently considered good research practice concerning AI when it comes to peer review, writing grants or using AI to create images. The presentation will also raise awareness about issues that are still under debate and therefore may be handled differently across disciplines or is subject to change in the 

Your Benefit: 

Participants will get an overview of the status quo of the current debate on AI and research integrity. The presentation has a practical bend covering how to disclose the use of AI in publications and what to keep in mind when it comes to working with AI in research. Rather than a prescriptive set of answers, participants will learn what kind of recommendations and regulations exist, what applies to their research and what is still under debate.

Condition to Participate: 

Please be aware of the booking and unbooking periods. After successful registration, if you do not attend, without prior or subsequent notification from you explaining/excusing your absence, our cancellation policy will come into effect. This means that you cannot book any of our workshops for the next 6 weeks and we will deduct 250 € from your travel grant funds.

Course Fee in Euros: 
€0.00
Target Group(s): 
Doctoral Researcher
Postdocs
Course Topic(s): 
Software Usertrainings - EDV/IT
Professional Skills
Organizing Institute/ Unit: 
Scientific Talent and Career Development (SPR)
Trainer Information
Trainer (Internal/External): 
External

Katrin Frisch has been working as a researcher at the German Research Ombudsman since May 2020, with a focus on research data and, since 2023, artificial intelligence. The aim of the project is to create practical guidelines supplementary to the DFG Code of Conduct "Guidelines for Safeguarding Good Research Practice" as support tools for ombudspersons and researchers. The project also aims at producing novel research on research integrity. The team has, among other things, published a monograph on fairness in science in October 2022. From March 2023 to March 2024, she also worked in the advisory office at the German Research Ombudsman. 

Capacity
1/-
Minimum Number of Participants: 
8

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