A Study on the Ethics of using Artificial Intelligence in Mental Health Treatment and its Legality

Abstract

The development of artificial intelligence (AI) has transformed mental health care through offering new and feasible solutions to old assumptions. The moral concerns related to the use of AI in the mental health, however, could not be overlooked. A thorough grasp of how AI can be used throughout the patient journey is essential to advancing AI technology in the realm of mental health and overcoming its present restrictions. To reduce it to three columns, or one dataset, five Facebook datasets were gathered from Kaggle. The preprocessing procedure enhances the dataset's quality by using user tweets. Four datasets about depression were taken from the Kaggle website. After the preprocessing is finished, we will refine four pre-trained BERT models using the Hugging Face package. We will be able to create a predictive model for identifying depression with this method. The effectiveness of our refined BERT models for depression identification was assessed using a number of metrics. Our healthcare system could be greatly enhanced by AI, but we can only realise this potential if we begin addressing the moral and legal issues that currently confront us.

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