The growing use of artificial intelligence (AI) in various aspects of life has led to concerns about its impact on mental health. While AI can provide numerous benefits, such as improving diagnosis accuracy and automating routine tasks, it also poses risks that must be addressed.
One major concern is the potential for AI systems to perpetuate biases present in their training data. This can result in discriminatory outcomes, particularly when dealing with sensitive topics like mental health. For instance, an AI-powered chatbot may use language that is insensitive or stigmatizing towards individuals with mental illness.
Another concern is the issue of job displacement caused by automation. As AI takes over routine tasks, there is a risk that many people will lose their jobs, leading to increased stress and anxiety.
Despite these concerns, researchers are working to develop more transparent and explainable AI systems. This involves creating models that can provide insights into their decision-making processes, making it easier to identify potential biases.
As the use of AI continues to expand, it is essential to prioritize mental health and well-being. By acknowledging the potential risks and taking steps to mitigate them, we can ensure that AI is used in a way that benefits society as a whole.
Source: https://www.msn.com/en-sg/news/other/ar-AA1KJN6l