There is increasing interest in the academic community in using generative artificial intelligence applications (GenAI) to aid research, teaching, review, and other academic activities. These applications include tools like ChatGPT, Gemini, DALL-E, able to generate textual or multimodal responses based on inputs.
Universities have recently published general AI guidelines, but most have a very broad perspective, and it often remains unclear what types of AI tools are in focus. Due to their generative nature and easy user interfaces, generative AI tools are profoundly different from other AI applications more typically used in computational sciences. This generates a need for dedicated ethical guidelines.
To answer this demand, Rajapinta ry. has published guidelines for research ethics with a dedicated focus on generative artificial intelligence. The guidelines highlight challenges and questions related to research ethics in the context of GenAI, following the existing research ethics framework used in Finland, published by the Finnish National Board on Research Integrity TENK. With a focus on ethics, broader concerns related to validity, replicability, and other core issues of the research process are not considered in the guidelines.
The guidelines will be further developed within the association, for example, at the upcoming Rajapinta Days, and the topic is actively discussed in the association’s Slack.
You can find the document here: Rajapinta Generative AI guidelines (v1)
Rajapinta 