Artificial intelligence-powered chatbots can provide round-the-clock access to supportive “conversations,” which some people are using as a substitute for interactions with licensed mental health clinicians or friends. But users may develop dependencies on the tools and mistake these transactions for real relationships with people or true therapy. Recent news stories have discussed the dangers of chatbots’ fabricated, supportive nature. In some incidents, people developed AI-related psychosis or were supported in their plans to commit suicide.

What is it about this technology that sucks people in? Who is at risk? How can you report on these conditions sensitively? In this webinar, hear from moderator Karen Blum and an expert panel, including psychiatrists John Torous, M.D. (Beth Israel Deaconess Medical Center); Keith Sakata, M.D. (UC San Francisco), and Mashable Senior Reporter Rebecca Ruiz, to learn more.

Karen Blum

AHCJ Health Beat Leader for Health IT
Karen Blum is AHCJ’s health beat leader for health IT. She’s an independent health and science journalist, based in the Baltimore area. She has written for publications such as the Baltimore Sun, Pharmacy Practice News, Clinical Oncology News, Clinical Laboratory News, Cancer Today, CURE, AARP.org, General Surgery News and Infectious Disease Special Edition; covered numerous medical conferences for trade magazines and news services; and written many profiles and articles on medical and science research as well as trends in health care and health IT. She is a member of the American Society of Journalists and Authors (ASJA) and chairs its Virtual Education Committee; and a member of the National Association of Science Writers (NASW) and its freelance committee.

Rebecca Ruiz

Senior reporter, Mashable
Rebecca Ruiz is a Senior Reporter at Mashable. She frequently covers mental health, digital culture, and technology. Her areas of expertise include suicide prevention, screen use and mental health, parenting, youth well-being, and meditation and mindfulness. Rebecca’s experience prior to Mashable includes working as a staff writer, reporter, and editor at NBC News Digital and as a staff writer at Forbes. Rebecca has a B.A. from Sarah Lawrence College and a master’s degree from UC Berkeley’s Graduate School of Journalism.

Keith Sakata, M.D.

Psychiatry resident, UC San Francisco
Keith Sakata, M.D., is a psychiatry resident at the University of California, San Francisco, where he founded the Mental Health Innovation and Digital Hub (MINDHub) to advance AI-enabled care delivery. He provides treatment and psychotherapy across outpatient and specialty clinics, with a focus on dual diagnosis, PTSD, OCD, pain, and addiction.

Dr. Sakata previously trained in internal medicine at Stanford Health Care and co-founded Skript, a diagnostic training platform adopted by UCSF and Stanford that improved medical education outcomes during the COVID-19 pandemic. He currently serves as Clinical Lead at Sunflower, an addiction recovery startup. He also helps and advises startups working to improve access in mental health: including Two Chairs, and Circuit Breaker Labs, which is providing a safety layer for AI tools in mental health care.

His professional interests bridge psychiatry, neuroscience, and digital innovation. Dr. Sakata holds a B.S. in Neurobiology from UC Irvine and earned his M.D. from UCSF.

John Torous, M.D., MBI

Director, Digital Psychiatry, Beth Israel Deaconess Medical Center
John Torous, M.D., MBI, is director of the digital psychiatry division in the Department of Psychiatry at Beth Israel Deaconess Medical Center (BIDMC), a Harvard Medical School-affiliated teaching hospital, where he also serves as a staff psychiatrist and associate professor. He has a background in electrical engineering and computer sciences and received an undergraduate degree in the field from UC Berkeley before attending medical school at UC San Diego. He completed his psychiatry residency, fellowship in clinical informatics and master’s degree in biomedical informatics at Harvard.

Torous is active in investigating the potential of mobile mental health technologies for psychiatry and his team supports mindapps.org as the largest database of mental health apps, the mindLAMP technology platform for scalable digital phenotyping and intervention, and the Digital Navigator program to promote digital equity and access. Torous has published over 300 peer-reviewed articles and five book chapters on the topic. He directs the Digital Psychiatry Clinic at BIDMC, which seeks to improve access to and quality of mental health care through augmenting treatment with digital innovations.

Torous serves as editor-in-chief for the journal JMIR Mental Health, web editor for JAMA Psychiatry, and a member of various American Psychiatric Association committees.

AP2 is designed to “securely initiate and transact agent-led payments across platforms,” according to a Tuesday (Sept. 16) company blog post.

Google is collaborating on agentic payments with more than 60 companies, some of which include Adyen, American Express, Mastercard, PayPal, Coinbase and Revolut, per the post.

“AI agents are capable of transacting on behalf of users, which creates a need to establish a common foundation to securely authenticate, validate and convey an agent’s authority to transact,” the post said. “While today’s payment systems generally assume a human is directly clicking ‘buy’ on a trusted surface, the rise of autonomous agents and their ability to initiate a payment breaks this fundamental assumption and raises critical questions that AP2 helps to address.”

The questions are authorization, or proving that a user gave an agent authority to make a specific purchase; authenticity, or allowing merchants to be sure an agent’s request reflects the user’s intent; and accountability in cases of fraud or incorrect transactions, per the post.

The protocol can be used as an extension of the Agent2Agent (A2A) protocol and Model Context Protocol (MCP). In conjunction with industry rules and standards, it offers a payment-agnostic framework for users, merchants and payments providers to transact across all types of payment methods, the post said.

PYMNTS Intelligence’s August edition of The Prompt Economy Tracker® Series explored the rise of MCP, an open standard that was introduced by Anthropic in late 2024 and has since been adopted by OpenAI, Microsoft and Visa.

“MCP is the digital equivalent of USB-C for agents,” the report said. “It defines how agents plug into data, invoke APIs, talk to other agents, and complete tasks securely and efficiently. This is the infrastructure that transforms agents from smart tools into autonomous actors inside the commerce ecosystem.”

Meanwhile, a July PYMNTS Intelligence report, “Payments Execs Say AI Agents Give Payments an Autonomous Overhaul,” revealed that agentic AI could demand new infrastructure, trust frameworks and corporate oversight.

AI agents require real-time, scalable, secure infrastructure, the report said. Legacy systems can’t deal with thousands of concurrent autonomous agents acting on APIs, analyzing data and triggering actions across systems.

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It seems humanity is running out of children faster than expected. Fertility rates are collapsing around the world, often decades ahead of United Nations projections. Turkey’s fell to 1.48 last year—a level the UN thought would not arrive until 2100—while Bogotá’s is now below Tokyo’s. Even India, once assumed to prop up global demographics, has dipped under replacement. According to a new piece in The Economist, the world’s population, once projected to crest at 10.3 billion in 2084, may instead peak in the 2050s below nine billion before declining. (Among those experts mentioned, by the way, is Jesús Fernández-Villaverde, an economist at the University of Pennsylvania and visiting AEI scholar.)

From “Humanity will shrink, far sooner than you think” in the most recent issue: “At that point, the world’s population will start to shrink, something it has not done since the 14th century, when the Black Death wiped out perhaps a fifth of humanity.”

This demographic crunch has defied policymaker efforts. Child allowances, flexible work schemes, and subsidized daycare have barely budged birth rates. For its part, the UN continues to assume fertility will stabilize or rebound. But a demographer quoted by the magazine calls that “wishful thinking,” and the opinion is hardly an outlier. 

See if you find the UN assumption persuasive:

It is indeed possible to imagine that fertility might recover in some countries. It has done so before, rising in the early 2000s in the United States and much of northern Europe as women who had delayed having children got round to it. But it is far from clear that the world is destined to follow this example, and anyway, birth rates in most of the places that seemed fecund are declining again. They have fallen by a fifth in Nordic countries since 2010.

John Wilmoth of the United Nations Population Division explains one rationale for the idea that fertility rates will rebound: “an expectation of continuing social progress towards gender equality and women’s empowerment”. If the harm to women’s careers and finances that comes from having children were erased, fertility might rise. But the record of women’s empowerment thus far around the world is that it leads to lower fertility rates. It is not “an air-tight case”, concedes Mr Wilmoth.

Against this bleak backdrop, technology may be the only credible source of hope. Zoom boss Eric Yuan recently joined Bill Gates, Nvidia’s Jensen Huang, and JPMorgan’s Jamie Dimon in predicting shorter workweeks as advances in artificial intelligence boost worker productivity. The optimistic scenario goes like this: As digital assistants and code-writing bots shoulder more of the office load, employees reclaim hours for home life. Robot nannies and AI tutors lighten the costs and stresses of parenting, especially for dual-income households.

History hints at what could follow. Before the Industrial Revolution, wealth and fertility went hand-in-hand. That relationship flipped when economies modernized. Education became compulsory, child labor fell out of favor, and middle- and upper-class families invested heavily in fewer children’s education and well-being. 

But today, wealthier Americans are having more children, treating them as the ultimate luxury good. As AI-driven abundance spreads more broadly, perhaps resulting in the shorter workweeks those CEOs are talking about, larger families may once again be considered an attainable aspiration for regular folks rather than an elite indulgence. (Fingers crossed, given this recent analysis from JPM: “The vast sums being spent on AI suggest that investors believe these productivity gains will ultimately materialize, but we suspect many of them have not yet done so.”)

Indeed, even a modest “baby bonus” from technology would be profound. Governments are running out of levers to pull, dials to turn, and buttons to press. AI-powered productivity may not just be the best bet for growth, it could be the only realistic chance of nudging humanity away from demographic decline. This is something for governments to think hard about when deciding how to regulate this fast-evolving technology.