Green Minds: AI Driven Innovations for Sustainable Mental Health

Abstract

With the increase in global mental health challenges and traditional healthcare systems finding it hard to deliver timely and accessible care, AI presents innovative solutions that are not only effective but also eco-friendly. The convergence of artificial intelligence (AI) and sustainable practices presents an exciting opportunity to tackle the global mental health crisis. AI is transforming mental health care by providing sustainable solutions for early diagnosis, treatment, and ongoing well-being. (Hoose, 2024)& (Lin, Zecevic, Bouneffouf, & Cecchi, 2023).This paper examines how cutting-edge AI technologies can develop interventions that are both sustainable and effective in enhancing mental health. By improving digital infrastructure, lowering energy use, and facilitating personalized mental health care, AI-driven solutions can alleviate resource pressures while broadening access to quality care. The study looks into machine learning applications, natural language processing techniques, and predictive analytics for diagnosing and managing mental health issues. This review shows that sustainable AI solutions can lead to a significant reduction in energy consumption and enhance mental health outcomes through early detection and ongoing monitoring. Nevertheless, the adoption of these technologies also presents important ethical challenges, such as data privacy concerns, algorithmic bias, and the necessity for strong regulatory frameworks.This paper highlights combination of  AI and sustainable practices which can lead to mental health interventions that are scalable, cost-effective, and ethically responsible. By focusing on environmental stewardship alongside personalized care, "Green Minds" presents a hopeful approach to enhancing individual mental health while also supporting wider global sustainability initiatives.