Day after day, this world is not just a rule of life but also a place where crime has been committed and punished. In particular, cases where mental illness is used as an umbrella to avoid punishment seem endless. The situations of "inadequate sentencing" in the past have been quite embarrassing.
Recently, the Supreme People's Procuratorate of China introduced a new regulation called "Provisions on the Supervision of the Compulsory Medical Decision Procedures of the People's Procuratorate." This new policy aims to better regulate the supervision process of compulsory medical decisions, prevent and correct issues such as "fake mental patients" escaping legal consequences or ordinary individuals being wrongly subjected to compulsory treatment. It also helps protect the legal rights of those involved and ensures that compulsory medical procedures are implemented correctly.
With these regulations in place, can similar cases be controlled? Honestly, it's not guaranteed. Some behaviors may not be normal, but that doesn't necessarily mean they are mental illnesses. If so, criminals could still escape justice.
However, identifying mental illness presents many challenges. Unlike other diseases, there are no clear physical or chemical indicators. Although diagnostic criteria exist both domestically and internationally, their application in practice often relies heavily on the experience of the professionals conducting the assessment. Differences in experience and methods among evaluators can lead to significant variations in conclusions.
Moreover, the risk of corruption and opaque operations during the psychiatric evaluation process cannot be ignored. Given these limitations, it’s extremely difficult to prevent situations like "making a healthy person appear sick" or "declaring a sick person healthy."
Despite these challenges, we live in the 21st century, an era of technological advancement. Thanks to the rapid development of computer capabilities, artificial intelligence has made tremendous progress. Complex deep learning algorithms can now play Go, trade stocks, and even generate content by mimicking human brain structures.
In recent years, AI has shown great promise in the medical field. Breakthroughs have been achieved in areas such as medical image recognition, AI assistants, and robotic surgery.
IBM's Computational Psychiatry and Neuroimaging Research Group recently published new findings showing the significant value of AI in assessing mental illness. Their research focuses on using AI to detect early signs of mental health conditions.
The IBM team conducted a study in 2015, using AI algorithms to analyze the language patterns of 59 participants. They broke down interview recordings by parts of speech and scored sentence coherence. Based on these models, the algorithm identified who was at risk of developing a mental illness.
Of the 59 subjects, 19 developed mental illness within two years, while the rest remained normal. The algorithm achieved an accuracy rate of 83%. It could also distinguish between the language patterns of those with mental illness and the general population with 72% accuracy.
The study's author, Guillermo Cecchi, mentioned that the team plans to expand their research to other mental health conditions, including depression, Alzheimer’s disease, Parkinson’s disease, and chronic pain.
As this technology continues to improve and its accuracy increases, it is expected to play a more effective role in preventing crimes involving "corruption risks," "black-box operations," and "false diagnoses." Those who try to exploit legal loopholes will find it harder to escape justice.
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