Summary of article from Sheppard Mullin Richter & Hampton LLP, by Carolyn Metnick, Gianfranco Spinelli:
PrivacyCon’s takeaways for healthcare organizations highlighted key considerations for the use of AI in healthcare, focusing on privacy themes, Large Language Models (LLMs), and AI functionality. The study identified four privacy concerns: potential for data misuse, personal nature of data, lack of awareness and consent in data collection, and surveillance by the government. It also highlighted security, privacy, and safety concerns in LLM platforms, particularly with third-party applications, urging developers to prioritize these aspects. The fallacy of AI functionality, where users trust AI blindly without data validation, was identified as a major issue, especially in healthcare where it can lead to misdiagnosis. The post concluded by emphasizing the need for healthcare organizations to establish governance and compliance committees to address these complex challenges and facilitate responsible AI development with privacy and ethical considerations in mind.