Superagency summary

In early 2023, tech developer Rob Morris sparked an unexpected firestorm. His mental health messaging platform, Koko, added AI capabilities to help compose supportive messages for users in emotional distress.  Notably, users consistently rated these AI-assisted responses even higher than human ones. And every message clearly disclosed when it was written by an AI. Even so, social media erupted with accusations of exploitation. 

The incident perfectly illustrates a tension in AI development: how do we balance solving urgent problems with managing hypothetical risks? 

The existing problems in mental healthcare couldn't be more urgent. In 2022, the United States recorded its highest suicide rate since 1941, with nearly 50,000 lives lost. Another 100,000 people died from drug overdoses. To make matters worse, 129 million Americans live in areas without sufficient mental health professionals, forcing many to wait three to six months for care. To put it plainly,  traditional solutions are falling devastatingly short.

Current digital mental health solutions, including the over 10,000 available apps, show promise, but have significant limitations. Up until recently, chatbots have relied on rigid, pre-programmed responses that can feel mechanical and impersonal. Not surprisingly, only 3.9% of users continue with these apps after two weeks.

But what if mental healthcare could be delivered like Spotify – accessible anytime, deeply personalized, and highly affordable? Advanced AI systems could analyze millions of therapy interactions to understand what approaches work best for different people. Unlike current chatbots, they could engage in nuanced, contextually-appropriate conversations that adapt to users' unique needs and circumstances. 

A 2023 study in JAMA Internal Medicine provided striking evidence of AI's potential: when physicians blindly evaluated medical advice from both human doctors and ChatGPT, they rated the AI's responses higher in 78.6% of cases, finding them both more comprehensive and, ironically, more empathetic.

So, leaving your existing opinions on AI at the door, imagine this: a world in which everyone had access to as much clinically-validated therapeutic support as they wanted. Users could test different therapeutic approaches, combine multiple styles, or assemble virtual therapy teams for real-time second opinions. Researchers recently analyzed 160,000 anonymized therapy sessions containing over 20 million messages, using AI to identify which therapeutic approaches worked best in different contexts. This kind of data-driven insight could transform how we personalize mental healthcare.

The authors make clear that this vision is not about replacing human therapists. Rather the goal is to provide more options for how mental healthcare can be delivered. AI could support human practitioners to serve more patients, and provide immediate support when human therapists aren't available. 

At the end of the day, this would mean a world with abundant mental healthcare. Where regular access to mental healthcare through AI could reshape society’s capacity for kindness and understanding. It may sound far-fetched to some, but is it possible that – through neural networks and server clusters – we become not just more technologically advanced, but more humane?