What can AI do for genomic medicine? If an AI model produces a result that is outside our current understanding, but not necessarily in violation of it, can we trust it? Focus group participants who were presented with this scenario didn’t always have a clear answer. For many participants, this generally reaffirmed the need for human oversight of these tools.

Despite its amazing advancements, generative AI raises substantial concerns. With its roots deep in Western data, could GAI inadvertently become a tool of digital colonisation? Trained mostly on data that is influenced by Western perspectives, there’s a risk of AI systems acting like digital colonisers, spreading a uniform cultural narrative across diverse global landscapes.

AI applications are revolutionising the way we create. But these creations rely on ideas conceived by humans who are not always given appropriate credit. It is likely that generative AI systems will soon only be allowed to be trained on work in the public domain or under licences, which will affect everyone who integrates generative AI into their work.