AI/Machine counselors: Will a robot be your next mental health therapist?

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  Quantumrun Foresight
• February 28, 2022

Insight summary

Artificial intelligence (AI) is reshaping mental health care, from chatbots offering guidance to automating key counseling tasks. While AI promises efficiency and wider access, concerns arise over data privacy, potential biases, and the accuracy of AI-driven therapy. As this technology becomes more prevalent, it prompts shifts in professional roles, business models, and the need for clear ethical guidelines.

AI/machine counselor context

AI is making strides in the field of mental health. Various websites and applications are integrating chatbots to offer mental health guidance. Additionally, clinicians and researchers are turning to AI to help categorize mental health conditions with more precision. The main tasks in counseling, which include assessment, formulation, intervention, and outcome evaluation, have seen some level of automation, making the process more streamlined.

However, while AI has the potential to assist or even replace some tasks traditionally done by psychologists, there are valid concerns. One major concern is the risk associated with AI-driven therapeutic sessions. If an AI system provides incorrect advice or encounters a malfunction during a counseling session, it could lead to negative consequences for the patient. Ensuring the accuracy and reliability of AI in such sensitive areas is crucial.

Furthermore, the use of AI in mental health raises concerns about data privacy. When patients share personal and sensitive health information with AI-driven platforms, there are questions about how this data is stored, used, and protected. The risk of data breaches and unauthorized access is a significant concern. On the brighter side, in regions where mental health services are scarce, AI can step in to fill the gap, offering essential services to those in need. 

Disruptive impact 

As AI systems become more adept at understanding and responding to human emotions, they could become the first line of support for many individuals. This means that before seeing a human therapist, individuals might interact with an AI system to determine the severity of their condition and get immediate coping strategies. For companies, this could lead to the development of more advanced mental health platforms, creating a competitive market for AI-driven mental health solutions.

For professionals in the mental health field, this trend could lead to a shift in roles and responsibilities. Instead of replacing human therapists, AI might work alongside them, handling initial assessments and routine check-ins, allowing therapists to focus on more complex cases or provide a more personalized touch. This collaboration between AI and human professionals could enhance the quality of care, making therapy more accessible and efficient. Governments, recognizing the potential of this synergy, might invest in training programs to equip mental health professionals with the skills to work alongside AI tools.

However, as AI becomes more integrated into mental health services, ethical considerations will come to the forefront. Ensuring that AI systems respect patient privacy, offer accurate advice, and do not perpetuate biases will be paramount. Individuals will need to be educated about the benefits and limitations of AI-driven mental health support. Companies will have to prioritize transparency in their AI systems, and governments might introduce regulations to ensure the safe and ethical use of AI in mental health. 

Implications of AI/machine counselors

Wider implications of AI/machine counselors may include:

• Psychology and related allied health profession regulation bodies proactively engaging with industry leaders developing this technology to better integrate it into their respective professions.


• The severe shortage of mental health professionals alleviated as consumers engage in conversations with AI-powered chatbots, getting a basic level of support anytime they need it at far less than the cost of a traditional therapy session.


• Clear standards on issues surrounding confidentiality, information privacy, and secure management of data collected by AI counselors and associated devices.


• AI applications engaged in therapeutic relationships with clients needing to comply with ethical guidelines like their human counterparts. However, how this is to be accomplished has not yet been addressed.


• A shift in educational priorities, prompting institutions to introduce courses that train future therapists to collaborate with AI tools, ensuring a harmonious blend of technology and human touch in mental health care.


• The emergence of new business models where mental health platforms offer tiered services, with AI handling basic consultations and human professionals addressing more complex cases, making therapy more affordable for a broader range of consumers.


• Governments revising healthcare budgets and allocations, as AI-driven solutions might reduce the cost of mental health services, allowing for resources to be redirected to other pressing health concerns.


• The rise of consumer advocacy groups demanding transparency in AI mental health tools, pushing for clear guidelines on how these systems make decisions and ensuring they don't perpetuate societal biases.


• Environmental benefits as the reduced need for physical infrastructure in mental health care, with AI-driven telehealth solutions, leads to fewer brick-and-mortar clinics.

Questions to consider

• If mental health therapy is increasingly ‘outsourced’ to a robotic aid, what will the impact be on the various mental health professions?


• If clients receive therapy mainly from robots, will it improve human interactions with each other, or will it merely improve human relations with machines?