Artificial Intelligence (AI) Tools – Research Integrity & Assurance

With the emergence of artificial intelligence (AI), investigators have a unique opportunity to use AI in their own research studies. Best practices on the use of AI in human subjects research are not yet well formed, nor is there general consensus on appropriate use. Given this fluidity, this guidance is therefore subject to change based on the development of this novel technology and best practices for its use. This guidance covers the use of AI, machine learning, deep learning, and related AI techniques used in research activities, as well as other activities that may govern or affect the use of AI tools within the context of research.

How to think critically about the quest for Artificial General Intelligence

This type of hallucination happens with tasks that do not appear frequently in LLM training data. They occur because the LLM is not reasoning the way that we humans do, they are not “thinking” in logical fashion to determine the right number to select. Instead, they are making statistical predictions about which text is most likely to be responsive to the prompt. Since this is a novel task, the LLM struggles.