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Texas high schooler’s app uses AI to detect suicide risks
If you or someone you know may be considering suicide, contact the 988 Suicide & Crisis Lifeline by calling or texting 9-8-8, or the Crisis Text Line by texting HOME to 741741.
Text messages, Instagram posts and TikTok profiles. They all leave behind digital footprints that can be analyzed and potentially used to detect suicide risks early. Siddhu Pachipala, a senior at The Woodlands College Park High School in Houston, is on a mission to do just that. Concerned about teen suicide, Pachipala believes in harnessing the power of artificial intelligence (AI) to detect the early signs of potential suicide and provide help as quickly as possible. He argues that early warning signs are often missed, and sufferers struggle to receive help in a timely fashion.
For a local science fair, he designed the SuiSensor app, which uses a natural language processing algorithm to scan text for signs of suicide risk, replacing outdated methods. “Our writing patterns can reflect what we’re thinking, but it hasn’t really been extended to this extent,” he said. Using sample data from a medical study, based on journal entries by adults, Pachipala said SuiSensor predicted suicide risk with 98% accuracy. Although the app is not yet available for download, Pachipala hopes that as an undergraduate at MIT, he can continue to develop it.
While experts acknowledge that this type of AI has been around since the mid-1990s, personalized tools like SuiSensor could help fill a void and raise awareness of the underlying mental health issues that often go unrecognized. However, some have raised concerns about the risk of false alarms.
FAQ:
Q: What is the SuiSensor app?
A: SuiSensor is an app designed by Siddhu Pachipala as part of a local science fair project that uses a natural language processing algorithm to scan text for signs of suicide risk.
Q: Can the SuiSensor app be downloaded?
A: The app is not currently available for download.
Q: Is the SuiSensor app accurate?
A: According to Pachipala, the app predicted suicide risk with 98% accuracy using sample data from a medical study based on journal entries by adults.
Q: Are there concerns about false alarms and privacy issues?
A: While personalized AI tools like SuiSensor could help raise awareness of underlying mental health issues, concerns have been raised about the risk of false alarms and data privacy issues, particularly for vulnerable groups like LGBTQ+ students.
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