The podcast episodes highlight concerns around the accuracy and reliability of generative AI models, which can be prone to inaccuracies and hallucinations, particularly in sensitive applications like medical diagnoses.
Enterprises are increasingly looking to leverage private cloud and on-premises AI solutions to address concerns around data privacy, regulatory compliance, and the limitations of public cloud AI models.
The integration of AI in medical diagnoses, such as breast cancer screenings, raises concerns about the transparency, ethics, and potential consequences of relying on these systems without a clear understanding of their capabilities and limitations.