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Google’s clinical director argues AI chatbots can offer vital mental health support, despite concerns about safety, aiming to connect users with professional help rather than restrict access.
In a world where mental health crises are increasingly common, technology companies like Google are exploring ways to provide immediate support through artificial intelligence (AI). Megan Jones Bell, Google’s clinical director, is at the forefront of this effort, emphasizing that their AI chatbot, Gemini, can serve as a crucial bridge to professional help.
“Shutting down access to these tools might seem like a way to prevent harm, but it could actually do more damage,” Jones Bell explained in an interview with STAT. “Our goal is to make the experience safer and more helpful, ensuring that users can find the support they need.”
Jones Bell’s perspective is rooted in a deep understanding of mental health and the role technology can play in crisis situations. She believes that AI chatbots, when designed thoughtfully, can offer immediate empathy and guidance to individuals who are struggling.
“Imagine you’re feeling overwhelmed and reach out to an AI chatbot,” she said. “If it responds with genuine empathy and provides resources for further help, it can be a lifeline. Cutting off this access could leave people feeling isolated and without options.”
One of the key challenges in developing AI for mental health support is training the system to respond with empathy. Jones Bell and her team at Google have been working on algorithms that not only provide accurate information but also convey a sense of care and understanding.
“We’re using a combination of natural language processing and machine learning to train Gemini to recognize emotional cues and respond appropriately,” she explained. “This involves feeding the system vast amounts of data, including real conversations between therapists and clients, to help it learn how to be supportive.”
While the potential benefits are significant, there are also risks. Ensuring that AI chatbots do not provide harmful advice or exacerbate a user’s mental health issues is a top priority.

“Safety is non-negotiable,” Jones Bell emphasized. “We have strict guidelines in place to prevent the chatbot from giving inappropriate or potentially dangerous responses. For example, if someone expresses suicidal thoughts, Gemini will immediately connect them with emergency services.”
Building trust with users is another critical aspect of the project. People need to feel confident that the AI they are interacting with has their best interests at heart.
“Transparency is key,” Jones Bell said. “We want users to understand how the chatbot works, what it can do, and what its limitations are. This helps build trust and ensures that people use it as a tool rather than a replacement for professional care.”
Google’s long-term vision for Gemini extends beyond just providing immediate support. The company aims to integrate the chatbot into a broader ecosystem of mental health resources, making it easier for users to access various forms of help.
“Ultimately, we want Gemini to be a gateway to a network of support services,” Jones Bell said. “Whether it’s connecting someone with a therapist, providing self-help tools, or offering community resources, the goal is to create a seamless and supportive experience.”
As technology continues to evolve, the role of AI in mental health support is likely to grow. Google’s approach, as outlined by Megan Jones Bell, underscores the importance of balancing empathy, safety, and user trust. By designing AI chatbots that can serve as bridges to professional help, companies like Google are taking significant steps toward addressing a critical societal need.
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About the author
Amara's entry point into AI was an epidemiology role at a London research hospital, where she spent five years studying how digital health tools reached — or conspicuously failed to reach — underserved communities. Watching early algorithmic systems in healthcare quietly entrench existing inequalities, she redirected her career toward the systemic consequences of AI at scale. She covers AI through an unflinching lens: who benefits, who bears the cost, and what evidence actually says versus what the press release claims. Her writing is calm and precise, but she doesn't mistake balance for neutrality.
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30 April 2026
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