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AI-based suicide prevention efforts at VA always have human involvement, official says

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Although the Department of Veterans Affairs has adopted some artificial intelligence capabilities to better identify veterans at risk of self-harm, VA officials said these technologies represent only one part of their suicide prevention strategy and are not designed to replace human interventions.

VA’s 2024 AI use case inventory included 227 examples of the emerging capabilities being used or implemented across its operations, with these applications ranging from AI-enabled devices to an on-network generative chatbot for department personnel. Four of these use cases were also focused, in whole or large part, on identifying and assisting veterans found to be at a heightened risk of self-harm. 

Suicide prevention has been a major priority within VA for more than two decades, with the department working over that period to significantly enhance the care and services it provides to at-risk veterans. 

But veteran suicide statistics have remained alarmingly high; over 140,000 veterans have taken their lives since 2001, with VA estimated that 6,407 died by suicide in 2022 alone. Some organizations have also found these reported figures to be a drastic undercount of the total number of veteran suicides.

One of VA’s AI-powered efforts to better reach veterans at high risk of self-harm — the Recovery Engagement and Coordination for Health-Veteran Enhanced Treatment, or REACH VET, program — initially launched in 2017 and scans the department’s electronic health records to identify retired servicemembers in the top 0.1% tier of suicide risk.

The model uses machine learning — which is a subset of AI that analyzes data to locate patterns and make decisions or predictions — to identify specific variables across veterans’ records that have been linked to a heightened suicide risk. 

During a House Veterans Affairs’ Technology Modernization Subcommittee hearing on Monday, Charles Worthington — VA’s chief technology officer and chief AI officer — told lawmakers that REACH VET “has used AI algorithms to identify over 130,000 veterans at elevated risk, improving outpatient care and reducing suicide attempts.”

VA officials also confirmed that the department has launched a 2.0 model of REACH VET, which includes new risk factors such as military sexual trauma and intimate partner violence. 

Evan Carey, acting director of VA’s National Artificial Intelligence Institute, told lawmakers that the updated model recently went into effect “to ensure it has ongoing high performance of identification of veterans at the highest risk quartiles.”

The launch of the revised version also came after The Fuller Project previously reported that REACH VET’s algorithm considered being a white male a greater indicator of potential self-harm than other factors that primarily or fully affect women.

Even with the department rolling out the 2.0 model, Carey said REACH VET is just one part of the department’s overall efforts to provide veterans with more targeted mental health services. 

“Their receipt of the care they need does not depend only on identification of an AI tool or being flagged as being at high risk,” he added. “It’s just one of many strategies we use to ensure that veterans are regularly screened.”

During Monday’s hearing, Rep. Nikki Budzinski, D-Ill. — the House VA subcommittee’s ranking member — said she wants the department “to ensure that human involvement isn’t eliminated as a part of the critical nature of the care that we want to be able to provide to a veteran with suicide prevention effort.”

Carey said that clinicians remain in control of the care that veterans receive, even with the use of emerging capabilities.

“So while we do use AI tools to surface risks and ensure that all veterans are flagged to get the care they need, what happens next is that a human at the VA reaches out to that veteran, or first reviews the information and decides if outreach is necessary,” he said.

When a veteran is identified via REACH VET, for instance, specialized coordinators at each VA medical facility see these individuals on a centralized dashboard and then work with providers to directly engage the retired servicemembers. The tool, in essence, acts as an identifier of those determined to be at-risk of suicide, but providers are involved in the outreach and care.

Budzinski asked the VA officials to commit that the department would not use AI tools as a substitute for crisis interventions in the future. 

“We do not currently have any plans that I’m aware of to use AI as a treatment device instead of providers, and I’ve personally been a part of many conversations where we ensure that continues to be the case,” Carey said. 





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Tabs Raises $55 Million for AI Agents for Finance Teams

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Tabs raised $55 million in a Series B funding round to accelerate its development of artificial intelligence agents for finance teams.

The company’s AI-native platform automates the contract-to-cash cycle, enabling faster invoicing, automated collections, real-time revenue recognition and faster month-end close, according to a Tuesday (Sept. 16) press release.

Founded in 2023, Tabs now serves more than 200 customers and automates over $500 million in annual invoice volume, the release said.

The most recent additions to the platform are two AI agents: billing agents that sync with the user’s customer relationship management (CRM) and enterprise resource planning (ERP) systems, read contracts, and create and send invoices; and collections agents that monitor due dates and automatically match and reconcile payments, per the release.

“Revenue in is the hardest and most valuable workflow in the enterprise, yet finance teams are still stuck with legacy ERPs,” Tabs CEO and co-founder Ali Hussain said in the release. “Tabs is bringing modern AI agents to the CFO’s office, starting with billing, complex enterprise contract management and collections, so companies can collect cash faster and reduce time spent on manual work.”

Justin Overdorff, partner at Lightspeed Venture Partners, which led the funding round, said in the release that Tabs is “eliminating manual processes that have plagued revenue workflows for decades.”

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“The team has combined deep finance expertise with purpose-built AI agents for revenue processing and tracking, and the rapid customer adoption we’re seeing validates just how ready the market is for this transformation,” Overdorff said.

Tabs raised $25 million in Series A funding in October 2024 and $7 million in seed funding in April 2024.

In June 2024, the company added a revenue recognition capability to its platform, saying this module helps businesses manage and recognize revenue, ensure compliance with accounting standards, and improve accuracy and efficiency.

The PYMNTS Intelligence report “Window of Opportunity: Gaining AR Transparency Through Automation” found that when companies adopt digital and automated accounts receivable processes, they can close visibility gaps and build stronger relationships with suppliers and customers.

For all PYMNTS AI and B2B coverage, subscribe to the daily AI and B2B Newsletters.



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Pentagon research official wants to have AI on every desktop in 6 to 9 months

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The Pentagon is angling to introduce artificial intelligence across its workforce within nine months following the reorganization of its key AI office.

Emil Michael, under secretary of defense for research and engineering at the Department of Defense, talked about the agency’s plans for introducing AI to its operations as it continues its modernization journey. 

“We want to have an AI capability on every desktop — 3 million desktops — in six or nine months,” Michael said during a Politico event on Tuesday. “We want to have it focus on applications for corporate use cases like efficiency, like you would use in your own company … for intelligence and for warfighting.”

This announcement follows the recent shakeups and restructuring of the Pentagon’s main artificial intelligence office. A senior defense official said the Chief Digital and Artificial Intelligence Office will serve as a new addition to the department’s research portfolio.

Michael also said he is “excited” about the restructured CDAO, adding that its new role will pivot to a focus on research that is similar to the Defense Advanced Research Projects Agency and Missile Defense Agency. This change is intended to enhance research and engineering priorities that will help advance AI for use by the armed forces and not take agency focus away from AI deployment and innovation.

“To add AI to that portfolio means it gets a lot of muscle to it,” he said. “So I’m spending at least a third of my time –– maybe half –– rethinking how the AI deployment strategy is going to be at DOD.”

Applications coming out of the CDAO and related agencies will then be tailored to corporate workloads, such as efficiency-related work, according to Michael, along with intelligence and warfighting needs.

The Pentagon first stood up the CDAO and brought on its first chief digital and artificial intelligence officer in 2022 to advance the agency’s AI efforts.

The restructuring of the CDAO this year garnered attention due to its pivotal role in investigating the defense applications of emerging technologies and defense acquisition activities. Job cuts within the office added another layer of concern, with reports estimating a 60% reduction in the CDAO workforce.





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Pentagon CTO wants AI on every desktop in 6 to 9 months

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The Pentagon aims to get AI tools to its entire workforce next year, the department’s chief technical officer said one month after being given control of its main AI office.

“We want to have an AI capability on every desktop — 3 million desktops — in six or nine months,” Emil Michael, defense undersecretary for research and engineering, said at a Politico event on Tuesday. “We want to have it focus on applications for corporate use cases like efficiency, like you would use in your own company…for intelligence and for warfighting.”

Four weeks ago, the Chief Digital and Artificial Intelligence Office was demoted from reporting to Deputy Defense Secretary Stephen Feinberg to Michael, a subordinate.

Michael said CDAO will become a research body like the Defense Advanced Research Projects Agency and Missile Defense Agency. He said the change is meant to boost research and engineering into AI for the military, but not reduce its efforts to deploy AI and make innovations.

“To add AI to that portfolio means it gets a lot of muscle to it,” he said. “So I’m spending at least a third of my time—maybe half—rethinking how the AI-deployment strategy is going to be at DOD.”

He said applications would emerge from the CDAO and related agencies that will be tailored to corporate workloads.

The Pentagon created the CDAO in 2022 to advance the agency’s AI efforts and look into defense applications for emerging technologies. The office’s restructuring earlier this year garnered attention. Job cuts within the office added another layer of concern, with reports estimating a 60% reduction in the CDAO workforce.





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