Impact of the AI Dependency Revolution on Both Physical and Mental Health

Abstract

Artificial intelligence (AI) offers capabilities beyond human performance, which has led to the global transformation of various industries, sectors, and other elements of our daily lives. Whether we use an application like Siri to send a text message or facial recognition to access a device, AI is an integral part of everyday technology. Artificial Intelligence has especially been integrated into various healthcare sectors, improving patient health outcomes and overall healthcare delivery. Diagnostic AI systems enhance clinical decision-making, personalizing treatment, and reducing stigma. However, its extensive use raises concerns about dependency, credibility, and its effects on physical and mental health. This research explores the advantages and drawbacks of AI dependency, emphasizing the need to use AI judiciously to safeguard decision-making capabilities. Additionally, trust and confidence in AI is vital for its successful implementation in healthcare. In mental health, AI offers promise for early detection and personalized treatment, addressing accuracy and accessibility limitations. To fully harness AI’s potential, ethical concerns, data privacy, and algorithmic bias must be addressed to harness AI’s potential in mental health care.