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Scientists have discovered a way to test whether someone is diabetic by having them speak just a few sentences into their smartphone. A team from US-based Klick Labs created an AI model capable of distinguishing whether a person has Type 2 diabetes from six to 10 seconds of voice audio, with tests revealing an 89 per cent accuracy rate for women and 86 per cent for men. “Our research highlights significant vocal variations between individuals with and without Type 2 diabetes and could transform how the medical community screens for diabetes,” said Jaycee Kaufman, a research scientist at Klick Labs. “Current methods of detection can require a lot of time, travel and cost. Voice technology has the potential to remove these barriers entirely.” The study involved analysing 18,000 recordings in order to identify acoustic features that differentiated non diabetics from diabetics. Using signal processing, they were able to detect subtle changes in pitch and intensity that are imperceptible to the human ear. The tool could prove useful for the estimated 240 million adults around the world who are currently living with the condition without realising, according to figures from the International Diabetes Federation. The latest research demonstrates the ever-growing role AI plays in healthcare, with the convergence of machine learning models, data science helping to improve patient treatment and assisting medical discoveries. The researchers claim the artificial intelligence model, which requires basic health data from the subject in order to determine whether they are diabetic, could be expanded to diagnose other health conditions. “Our research underscores the tremendous potential of voice technology in identifying Type 2 diabetes and other health conditions,” said Yan Fossat, vice president of Klick Labs and leader of the research. “Voice technology could revolutionise healthcare practices as an accessible and affordable digital screening tool.” The technology was detailed in a study, titled ‘Acoustic analysis and prediction of Type 2 Diabetes Mellitus using smartphone-recorded voice segments’, published in the journal Mayo Clinic Proceedings: Digital Health. Read More 10 ways AI will change the world – from curing cancer to wiping out humanity

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The current wave of generative AI tools like ChatGPT will soon be surpassed by “interactive artificial intelligence”, according to AI pioneer Mustafa Suleyman. The co-founder of DeepMind, which was acquired by Google for $500 million in 2014, said the next generation of AI tools will be “a step change in the history of our species”, allowing people to not just obtain information but also order tasks and services to be carried out on their behalf. “The first wave of AI was about classification. Deep learning showed that we can train a computer to classify various types of input data: images, video, audio, language. Now we’re in the generative wave, where you take that input data and produce new data,” Mr Suleyman told MIT Technology Review. “The third wave will be the interactive phase. That’s why I’ve bet for a long time that conversation is the future interface. You know, instead of just clicking on buttons and typing, you’re going to talk to your AI.” This will allow users to ask these AI to perform tasks for them, which they will carry out by talking with other people and interacting with other AIs. “That’s a huge shift in what technology can do. It’s a very, very profound moment in the history of technology that I think many people underestimate,” he said. “Technology today is static. It does, roughly speaking, what you tell it to do. But now technology is going to be animated. It’s going to have the potential freedom, if you give it, to take actions. It’s truly a step change in the history of our species that we’re creating tools that have this kind of, you know, agency.” When questioned about the potential risks of giving artificial intelligence autonomy, Mr Suleyman said it was important to set boundaries for the technology and make sure that it is aligned with human interests. When Mr Suleyman was still working at DeepMind, his colleagues helped develop what became known as a “big red button” that would effectively serve as an off switch for rogue AI. A research paper titled ‘Safely Interruptible Agents’ described how any misbehaving robot could be shut down or overriden by a human operator in order to avoid “irreversible consequences”. Read More 10 ways AI will change the world – from curing cancer to wiping out humanity

By Harry Robertson and Yoruk Bahceli LONDON Global regulators and bond traders were on Friday trying to gauge