Following a recent Hot Topic discussion that explained how machine learning models are trained using large datasets and need a human in the feedback loop to catch any errors and make the models more accurate, the ACDM Newsletter Committee have decided to put AI to the test.
The Committee have challenged ChatGPT v3.5, pitting the Artificial Intelligence brain against the Actual Intelligence of the committee members, to answer the question ‘How can data managers ensure the integrity of the data being collected in the clinical trial?’
How did the responses compare? Read the article here.
ACDM Newsletter Committee: Angela Paterson, Ali Roskell, James McKenna, Hanneke Lankheet-Buiel, Emily Voss, Elke Ydens
Explore More News
AI model trained on de-identified data from 57 million people
Researchers at UCL have trained an AI model using de-identified data from 57 million . . .
This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are as essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
