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When ChatGPT exploded in popularity two years ago, it didn’t just seep its way into the very fabric of our society. The technology also became privy to some of the most intimate corners of many people’s inner worlds.
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As an “AI therapist,” the technology, however, came with its own set of consequences as more people started depending on it for daily use.
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Now, clinicians and health care professionals are scrambling to close the mental health-care gap while simultaneously researching alternative solutions addressing cases of what’s been called “AI psychosis,” according to Peter Selby, a scientist at the Centre For Addiction and Mental (CAMH).
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Researchers across the country, including some at the University of Ottawa, have started developing alternative therapeutic AI tools they say are safer than “taking your chances with ChatGPT,” according to Selby.
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“I believe health-care professionals should be shaping the technology rather than the other way around,” Selby said.
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A chatbot alternative
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At uOttawa, Faculty of Engineering professor Karim Alghoul is one of the researchers leading a team dedicated to developing UbiMyTherapist, an AI digital therapy assistant.
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UbiMyTherapist would continuously monitor a user’s emotional state and respond with suggestions that are clinically informed.
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Alghoul says the tool runs on everyday devices like smart smartwatches, smartphones or earbuds. The technology is an AI model that helps detect and predict emotions like stress ahead of time and provide support.
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I believe health-care professionals should be shaping the technology rather than the other way around
Scientist Peter Selby
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But the idea is not to get people to stop using Large Language Models (LLMs) like ChatGPT as their therapist altogether.
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“Everyone is using LLMs anyway,” said Alghoul, who also works as a clinical AI adviser at the university’s Faculty of Medicine. “So instead of just kind of forcing people to not use it, what if we put some layers of protection?”
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Could you truly trust AI to be your therapist?
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Alghoul says it’s safer because the tool works based on the physiological data of the user.
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This means the AI model can use bio signals like heart rate and sleep data, all collected through smartwatches, to predict emotion.
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“The reason why we focused a lot on the physiological measurement is that this kind of data is continuous. You can wear your smartwatch all the time, even when you’re asleep,” Alghoul said.
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The “Ubi” in UbiMyTherapist, stands for “ubiquitous,” Alghoul explained, which is meant to hint at the continuous nature of the data collection process.
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What makes the human-AI interaction safer, though, is the additional protection that the “Retrieval-Augmented Generation”, or RAG, provides. The data collected will be used against a RAG technology that is layered on top of the LLM, the professor said.
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“This will ground the LLM. This means that the LLM will only answer from a specific data set that it’s given,” he said.
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“The answers are not allowed to be from its general knowledge. The tool will only be allowed to go and grab answers from the database.”
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