From mind-reading health benefits to speaking to animals and deceased loved ones
The rapid spread of Artificial Intelligence (AI) programmes is sparking doomsday predictions ranging from mass lay-offs to the end of humankind.
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According to the latest Artificial Intelligence Index from the Stanford Institute for Human-Centered Artificial Intelligence, public scepticism about the potential benefits of AI is highest in Western countries such as the UK, Germany, France and US, the home of Silicon Valley. By contrast, the overwhelming majority of people from the world’s two most populus nations, China and India, felt that the positives of AI outweighed the drawback.
Like any major technological advancement, the impact of AI will be mixed. But “whether you like it or not, AI is here and here to stay”, said Forbes. “With responsible development and use, AI can vastly improve our world.”
Here are five examples of how AI may have significant benefits.
Mind-reading for health gains
“One of AI’s biggest potential benefits is to help people stay healthy so they don’t need a doctor, or at least not as often,” said PWC. AI is already being used to detect diseases earlier and with “more accuracy”. For example, AI software can interpret mammograms and translate patient data into diagnostic information to determine breast cancer risk “30 times faster” than human doctors, “with 99% accuracy, reducing the need for unnecessary biopsies”.
US researchers are also developing an AI-decoder that can translate brain activity into a continuous stream of text, “a breakthrough that allows a person’s thoughts to be read non-invasively for the first time”, reported The Guardian’s science correspondent Hannah Devlin. The advance, outlined in a paper in Nature Neuroscience, raises the prospect of new ways to restore speech in patients struggling to communicate due to a stroke or motor neurone disease.
Analysing climate data
AI “as a tool is uniquely positioned to help manage” the “complex issues” surrounding climate change and its impact on environmental, social and economic systems worldwide, said Boston Consulting Group. AI programmes can “gather, complete and interpret large, complex datasets on emissions” and more, and “help identify the most at-risk regions”.
More specifically, AI can be used in hazard forecasting for long-term events such as sea-level rises, and for immediate, extreme events such as hurricanes. For example, the World Economic Forum reported that an application by San Francisco-based company Pano AI scans video feeds from mountaintop cameras to “detect wildfires, alert homeowners and assist fire crews in controlling the fires”.
Detecting infant blindness
A recent AI-led breakthrough could pave the way to more effectively detect a leading cause of blindness in children. In a study published last month in The Lancet Digital Health, an international team of scientists and clinicians revealed how they had developed a deep learning model to identify which at-risk infants have retinopathy of prematurity (ROP). The condition occurs when abnormal blood vessels grow in the retina of premature babies, and can lead to blindness if left untreated.
“Symptoms of ROP cannot be seen by the naked eye, meaning the only way to identify the condition is by monitoring infants at risk with eye exams,” said University College London, which co-led the study. But an AI tool that was trained using thousands of images of the eyes of newborns “was found to be as effective as senior pediatric ophthalmologists in discriminating normal retinal images from those with ROP”.
Decoding animal language
AI and machine learning has long helped analyse and translate human language, but now researchers are making major steps in decoding how animals communicate, which experts say could significantly advance ecological research and conservation efforts. For instance, in 2021, researchers used audio recordings to identify a new species of blue whales in the Indian Ocean. “Each blue whale population has a distinct vocal signature, which can be used to distinguish and monitor different ‘acoustic populations’ or ‘acoustic groups’,” the international team explained in an article in Nature.
California-based non-profit Earth Species Project (ESP) is also using AI to identify patterns in large data sets of visual, oral and physical animal communications. CEO and co-founder Katie Zacarian told the World Economic Forum earlier this year that with the progress being made, “we are moving rapidly toward a world in which two-way communication with another species is likely”.
Helping with grief
AI-powered technology is also being used to “develop chatbot avatars of people’s deceased relatives, preserving their memories and helping with grief”, reported Euronews.
In 2021, an article in the San Francisco Chronicle detailing how a freelance writer trained an AI chatbot to impersonate his dead fiance received widespread attention. Less than two years later, as advanced AI programmes such as ChatGPT emerge, “grief tech” is a rapidly expanding field.
California-based company HereAfter AI invites users to upload audio, images and videos of late loved ones to an app to create a “life story avatar” that chats on demand in the voice of the deceased. Another California start-up, StoryFile, “records footage and audio prior to a person’s death and then makes it interactive through the power of conversational AI and a holographic avatar”, said Euronews.
Lucy Selman, associate professor in palliative and end-of-life care at Bristol University, told the Financial Times that tackling grief in such ways “won’t be for everyone”. Research was needed into the ethics of such AI-powered tech and whether it might be harmful in delaying or prolonging grief, she said, but it is an “interesting advance”.
