The Risks Posed by AI-Powered Mental Health Chatbots
Introduction
The use of digital information and communication technologies for healthcare access has been on the rise in recent times. Mental health care is increasingly being provided through online platforms by remote practitioners, and even by AI-powered chatbots, which use natural language processing (NLP) and machine learning (ML) processes to simulate conversations between the platform and a user. Thus, AI chatbots can provide mental health support from the comfort of the home, at any time of the day, via a mobile phone. While this has great potential to enhance the mental health care ecosystem, such chatbots can present technical and ethical challenges as well.
Background
According to the WHO’s World Mental Health Report of 2022, every 1 in 8 people globally is estimated to be suffering from some form of mental health disorder. The need for mental health services worldwide is high but the supply of a care ecosystem is inadequate both in terms of availability and quality. In India, it is estimated that there are only 0.75 psychiatrists per 100,000 patients and only 30% of the mental health patients get help. Considering the slow thawing of social stigma regarding mental health, especially among younger demographics and support services being confined to urban Indian centres, the demand for a telehealth market is only projected to grow. This paves the way for, among other tools, AI-powered chatbots to fill the gap in providing quick, relatively inexpensive, and easy access to mental health counseling services.
Challenges
Users who seek mental health support are already vulnerable, and AI-induced oversight can exacerbate distress due to some of the following reasons:
- Inaccuracy: Apart from AI’s tendency to hallucinate data, chatbots may simply provide incorrect or harmful advice since they may be trained on data that is not representative of the specific physiological and psychological propensities of various demographics.
- Non-Contextual Learning: The efficacy of mental health counseling often relies on rapport-building between the service provider and client, relying on circumstantial and contextual factors. Machine learning models may struggle with understanding interpersonal or social cues, making their responses over-generalised.
- Reinforcement of Unhelpful Behaviors: In some cases, AI chatbots, if poorly designed, have the potential to reinforce unhealthy thought patterns. This is especially true for complex conditions such as OCD, treatment for which requires highly specific therapeutic interventions.
- False Reassurance: Relying solely on chatbots for counseling may create a partial sense of safety, thereby discouraging users from approaching professional mental health support services. This could reinforce unhelpful behaviours and exacerbate the condition.
- Sensitive Data Vulnerabilities: Health data is sensitive personal information. Chatbot service providers will need to clarify how health data is stored, processed, shared, and used. Without strong data protection and transparency standards, users are exposed to further risks to their well-being.
Way Forward
- Addressing Therapeutic Misconception: A lack of understanding of the purpose and capabilities of such chatbots, in terms of care expectations and treatments they can offer, can jeopardize user health. Platforms providing such services should be mandated to lay disclaimers about the limitations of the therapeutic relationship between the platform and its users in a manner that is easy to understand.
- Improved Algorithm Design: Training data for these models must undertake regular updates and audits to enhance their accuracy, incorporate contextual socio-cultural factors for profile analysis, and use feedback loops from customers and mental health professionals.
- Human Oversight: Models of therapy where AI chatbots are used to supplement treatment instead of replacing human intervention can be explored. Such platforms must also provide escalation mechanisms in cases where human-intervention is sought or required.
Conclusion
It is important to recognize that so far, there is no substitute for professional mental health services. Chatbots can help users gain awareness of their mental health condition and play an educational role in this regard, nudging them in the right direction, and provide assistance to both the practitioner and the client/patient. However, relying on this option to fill gaps in mental health services is not enough. Addressing this growing —and arguably already critical— global health crisis requires dedicated public funding to ensure comprehensive mental health support for all.
Sources
- https://www.who.int/news/item/17-06-2022-who-highlights-urgent-need-to-transform-mental-health-and-mental-health-care
- https://health.economictimes.indiatimes.com/news/industry/mental-healthcare-in-india-building-a-strong-ecosystem-for-a-sound-mind/105395767#:~:text=Indian%20mental%20health%20market%20is,access%20to%20better%20quality%20services.
- https://www.frontiersin.org/journals/digital-health/articles/10.3389/fdgth.2023.1278186/full
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Are dating apps useful in the modern dating era and how to find the correct one?
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What are some IT risk management tips for home businesses?
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Executive Summary
A video is being shared on social media showing a group of people dancing on a road while carrying saffron flags. A mosque can also be seen nearby in the video Sharing this clip, some users are claiming that it is from Uttam Nagar in Delhi, where members of the Hindu community celebrated Holi on the occasion of Eid on March 21. Research by the CyberPeace found the viral claim to be misleading. Our probe revealed that the video is not related to Holi celebrations on Eid in Uttam Nagar, Delhi. In fact, the video has been available on the internet since 2024 and is said to be from Raichur district in Karnataka. Several users have shared it claiming that it was recorded during Ganesh Chaturthi celebrations.
Claim:
A social media user shared the viral video on March 21, 2026, with a misleading claim. The link and archive link of the post are given below.
Fact Check:
To verify the viral claim, we first conducted a keyword search on Google. However, we did not find any credible media report supporting the claim. In the next step, we extracted keyframes from the video and performed a reverse search using Google Lens. During this process, we found the same video on an Instagram account, which was posted on September 23, 2024.
The user had captioned the video as “Ganesh Chaturthi 2024,” suggesting that the clip is related to the festival. Further, upon closely analyzing the video, we noticed that the mosque visible in the background had “Usmania Masjid” written on it. We then searched for this location on Google Maps and found that the mosque is located on Teen Khandil Road in Raichur, Karnataka, which matches the visuals seen in the viral clip.
Conclusion:
Our research found that the video is not from Uttam Nagar, Delhi, nor is it related to Holi celebrations on Eid. The clip has been available online since 2024 and is from Raichur, Karnataka. It has been shared with a misleading claim and is actually linked to Ganesh Chaturthi celebrations.
Introduction
On June 2, 2026, U.S. President Donald Trump signed an executive order called "Promoting Artificial Intelligence Innovation and Security." The order tells federal agencies to improve cyber defences against AI-based threats and creates a system where AI companies can choose to let the government access powerful new models before they are released to the public. This happens as the U.S. and China are in a heated competition to lead the next generation of AI. While the order only affects the United States, its impact could reach the global AI industry, including India.
What Does the Executive Order Do?
The White House order focuses on three areas: First, it aims to upgrade government cyber security. Federal agencies must strengthen their information systems with AI-enabled defences within 30 days. Cyber Security and Infrastructure Agency (CISA) will issue new guidelines for civilian agencies, and an AI Cyber security Clearinghouse will be established for the government and private companies to share and resolve software vulnerabilities.
Second, the order introduces a voluntary pre-release review process for advanced AI models. Before a new model is publicly available, AI companies can give the government up to 30 days to evaluate it for cyber security risks. An earlier draft proposed a 90-day review period, but this was cut back due to feedback from the technology industry. The government will also create classified benchmarks to figure out which models qualify as a “covered frontier model” and are therefore subject to this review process.
Finally, the order emphasises criminal enforcement. It prioritises legal action against those who use AI tools to commit cybercrimes.
According to the White House, the aim is to promote AI innovation and security by collaborating with the private sector to modernise government and private information systems and protect them from external threats.
Why Does This Matter Globally?
- AI Is Now a National Security Issue Until recently, most governments viewed AI as an economic or scientific issue. This order officially changes that for the United States, placing advanced AI alongside other sensitive technologies that need government oversight before deployment. When the world's largest military makes this change, other governments pay attention. Countries allied with or partnering with the U.S. will likely revisit their own AI governance frameworks in the months ahead.
- Two Competing Models for the World The U.S. and EU represent two different approaches to AI governance. The EU AI Act lays down strict rules, is focused on ethics, and requires heavy compliance. The US approach is lighter on ethics, promoting voluntary cooperation, prioritising security, and encouraging innovation. Countries developing their own AI policies will either continue to align with one of these models or take ideas from both. The Atlantic Council has pointed out that if the U.S. model is successful, it could influence international security standards for AI development, even without formal global agreements.
- The China Factor Trump initially delayed signing the order, worried it would slow down American companies and give China an edge. The final version avoids mandatory licensing requirements but clearly indicates that the U.S. aims to lead, not only in building AI but also in securing it. China is likely to respond by speeding up its own evaluation systems, creating another global framework.
What Could This Mean for India?
India has taken a careful, non-mandatory approach to AI governance. MeitY's India AI Governance Guidelines, issued in November 2025, are based on principles and are not binding. India's AI Safety Institute has been announced but is not fully operational. Efforts to create binding regulation have been seen in actions like the Private Member's Bill, the AI Ethics and Accountability Bill, 2025, introduced in the Lok Sabha. This bill suggests mandatory reviews for high-risk AI systems but has not been passed yet. It's important to note that groups like the AI Governance Expert Group (AIGEG) and the Technology and Policy Expert Committee (TPEC) serve only in an advisory role; they do not have legislative power. As a result, nothing binding has been implemented so far. The Trump order puts additional pressure on India to pass measurable, binding AI-security-related measures. As AI use increases in banking, healthcare, telecommunications, and government services and frontier AI models continue to evolve without global oversight, stronger security evaluation methods are becoming necessary, especially in critical sectors.
Recent events prove this need. In June 2026, a Distributed Denial-of-Service (DDoS) attack hit the CBSE's On-Screen Marking portal. It saw 1.5 million requests in two minutes and over one lakh unauthorised file access attempts targeting a system used by millions of students. Similar attacks have impacted AIIMS Delhi and other public digital infrastructure. As AI tools make these attacks easier to carry out, security testing before deployment can no longer be seen as optional.
For Indian AI companies aiming at global markets, the U.S. framework is also important for business. Standards that are set voluntarily in Washington often become necessary for international partnerships and contracts.
Conclusion
Trump's AI cyber security order signals a shift. A government that resisted regulating AI has now recognised that powerful models need oversight before they reach the public. Its immediate impact affects U.S. agencies and developers. However, the broader message is that advanced AI is a national security concern. This will influence policy conversations around the world. For India, the priority is to develop its own security evaluation capacity now, rather than waiting to adopt frameworks created for other contexts.
References
- White House Executive Order, "Promoting Advanced Artificial Intelligence Innovation and Security," June 2, 2026
- Federal Register — Executive Order Publication, June 5, 2026
- Council on Foreign Relations — Assessing Trump's Executive Order on AI Oversight, June 4, 2026
- Atlantic Council — Reading Between the Lines of Trump's New Executive Order on AI, June 3, 2026
- Times of India — Donald Trump Passes AI Cyber security Order
- MeitY India AI Governance Guidelines, November 2025
- AI Ethics and Accountability Bill, 2025 — Explained
- NPR — Trump Signs EO Seeking Early Government Access to Powerful AI Models
