The tipping point between acceptability and antipathy when it comes to ethical implications of artificial intelligence have long been thrashed out. Recently, the lines feel increasingly blurred; AI-generated art, or photography, not to mention the possibilities of OpenAI's ChatGPT, reveals a greater sophistication of the technology. James Fletcher leads the responsible application of AI at the BBC. His job is to, as he puts it, 'make sure what [the BBC] is doing with AI aligns with our values.' He says that AI's purpose, within the context of the BBC, is automating decision making.

Even though "de-identified," patient data can still sometimes be revealed by attackers. The focus of this program will include technical and policy measures that might better protect the privacy of electronic health records (EHRs) when they are used for machine learning. The approach to be discussed includes multivariate models computed in a decentralized fashion for a large clinical data research network, and how to collaborate in developing sound methods to protect patient privacy. Sharing according to patient instructions is one important way to conduct responsible machine learning. This presentation will include results from a recent study on patient-controlled electronic healthcare data sharing.