In a recent review article published in npj Digital Medicine , researchers investigated the ethical implications of deploying Large Language Models (LLMs) in healthcare through a systematic review. Their conclusions indicate that while LLMs offer significant advantages such as enhanced data analysis and decision support, persistent ethical concerns regarding fairness, bias, transparency, and privacy underscore the necessity for defined ethical guidelines and human oversight in their application. Study: The ethics of ChatGPT in medicine and healthcare: a systematic review on Large Language Models (LLMs) .
Image Credit: Summit Art Creations/Shutterstock.com LLMs have sparked widespread interest due to their advanced artificial intelligence (AI) capabilities, demonstrated prominently since OpenAI released ChatGPT in 2022. This technology has rapidly expanded into various sectors, including medicine and healthcare, showing promise for clinical decision-making, diagnosis, and patient communication tasks.
However, alongside their potential benefits, concerns have emerged regarding their ethical implications. Previous research has highlighted risks such as the dissemination of inaccurate medical information, privacy breaches from handling sensitive patient data, and the perpetuation of biases based on gender, culture, or race. Despite these concerns, there is a noticeable gap in comprehensive studies systematically addressing the ethical challenges of integrating LLMs into healthcar.