Impact of AI on Mental Health

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Artificial Intelligence (AI) has revolutionized the world, impacting our daily life and global industrial functioning. A widely asked question is, “can AI replace mental health professionals?” While AI offers many innovative solutions and breaks a lot of accessibility barriers, aids the diagnosis and treatment process and has positive impact on mental health care, it comes with challenges of providing humanitarian aspect necessary for the therapeutic process. Below the possibilities of AI’s impact on mental health are explored and the role AI plays in reshaping the mental health field.

Effects of AI on mental health worldwide

AI technologies are increasingly being utilized to enhance mental health services and improve the effectiveness of a therapist in the diagnosis and treatment process. In regions that may be remote or have low level of resources, AI can increase accessibility as well as affordability through AI mental health tools. There are significant effects of AI that are coming to light; however, there are also risks where infrastructure and regulations are underdeveloped, raising data security concerns. Cyberpsychology is the intersection between technology and AI and mental well-being, which as a field specifically studies the impact of AI on mental health. Globally, AI seems to have paved the way in the field of mental health, whether it is enhancing or acting as the role of a mental health therapist, support or companion.

Applications of AI in Mental Health Care

AI Mental Health Therapist: AI based Chatbots and virtual assistants for providing in the moment therapeutic assistance for adolescents and adults for anxiety, depression, stress management and other common mental health concerns are now available for public use. AI mental health therapist chatbot include Woebot and Wysa that utilize elements of Cognitive Behavioral Therapy (CBT), Interpersonal Psychotherapy (IPT) and Dialectical Behavioral Therapy (DBT).

AI Mental Health Support: AI tools can track mental health symptoms through wearable devices or mood-tracking apps such as voice patterns, online activity, sleep patterns, heart rate, behavioral patterns help in symptom tracking in providing real-time insights, aiding AI based mental health support.

AI Mental Health Companion: AI based virtual companions provide emotional support, which can be helpful for individuals experiencing grief, loneliness, anxiety or isolation. AI mental health companions help in providing 24/7 support. 

Positive Effects of AI on Mental Health

  • Accessibility and Affordability : AI mental health tools, chatbots, technologies provide mental health care 24/7 and in remote areas, improving access to mental health care, support and treatment, reducing geographical, language-based and financial barriers. This is especially important post COVID-19 pandemic as the demand for mental health services skyrocketed globally.
  • Improving Diagnosis and Treatment : AI can improve the accuracy of mental health diagnoses by analyzing data from electronic health records (EHRs), brain imaging, genetic tests and identifying biomarkers that are associated with specific mental health conditions or disorders, providing accurate, reliable diagnosis, which is also saves time and resources. Further, AI can predict treatment responses based on patient data, minimizing the trial-and-error approach.
  • Personalized Interventions : AI has the ability to offer a personalized treatment plan based on analysis of patient’s information, condition, concerns and tailor the intervention based on effective and evidence-based plans for specific or co-morbid conditions. This is beneficial for the therapeutic and treatment process.
  • Monitoring and Insights : AI can track and monitor mental health systems through wearable devices or mood tracking apps, which can help in identifying early warning signs of a mental health crisis, allowing time for early intervention, promoting preventive care.
  • Reducing Stigma : AI helps in generalizing and normalizing mental health care, accessing mental health services and support. Moreover, some individuals find it easier to freely express emotions without fear of judgement to a virtual companion or AI based chatbot.

Negative Effects of AI on Mental Health

  • Lack of Human Empathy : AI can augment and support in providing mental health services, but it cannot replace human judgement and empathy, which are essential in therapeutic settings and the treatment process. For many individuals who are struggling, suffering, AI services would lead to dissatisfaction or even inadequate care as a human therapist will understand and respond to human emotions that AI cannot perform as a fundamental function.
  • Privacy and Data Security Concerns : AI learns through user data and interaction, which raises grave concerns regarding confidentiality and potential misuse of sensitive and private information. Keeping a client’s information confidential is an ethical and essential requirement for the therapeutic process.
  • Over-Reliance on Technology : AI tools will inevitably foster a dependence on technology and support which can adversely impact the therapeutic process. A therapist aims to make their client independent, and AI tools can unknowingly do the opposite. This can hamper deeper and substantial healing and the therapeutic intervention process. Moreover, this bypasses human connection which is an essential human need.

It is important to balance these positive and negative effects of AI on mental health through promoting ethical AI development and promoting AI as a tool that enhances, not replaces, mental health care. AI replacement of human therapists would result in an inhuman approach to deal with a humane condition. Integrating AI into mental health care would come with many benefits; however, a balanced complementary approach which highlights innovation as well as human connection can ensure a future where mental health care is accessible, affordable, compassionate and effective.

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Harshita Bajaj
Harshita has a background in Psychology and Criminology and is currently pursuing her PhD in Criminology. She can be found reading crime thrillers (or any other book for that matter) or binge-watching shows on Netflix when she is not in hibernation.

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