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Spring HealthLaunch

Spring Health Opens VERA-MH Harm-From-Others Safety Rubric for Public Comment

What happened

Spring Health has expanded its open-source AI safety benchmark for mental health, VERA-MH, to include a new clinical safety area focused on harm from others.

Source

Article excerpt

Highlighted: the sentence this signal was extracted from

The expansion adds a harm-from-others safety area to VERA-MH, the first open-source AI safety benchmark for mental health, and invites public feedback ahead of Domestic Violence Awareness Month NEW YORK, Sept. 25, 2026 /PRNewswire/ -- Spring Health , a global mental health company built on one AI-native platform, today expanded VERA-MH, the first open-source AI safety benchmark for mental health, into a second clinical safety area: harm from others . As more people turn to AI for emotional support 1, Spring Health is helping build the standards by which mental health AI should be measured. The VERA-MH Harm-From-Others rubric evaluates how AI systems respond when an adult describes being at risk of physical or sexual violence from another person. Developed with clinicians, subject-matter experts in interpersonal violence, and people with lived experience, it is scored across five areas: detecting the risk, confirming it, guiding the person to human care, supportive conversation, and following AI boundaries. Drawing on 100 realistic personas, it is the first open-source benchmark of its kind. "There are many moments when someone's safety depends on how an AI responds, and harm from others is one of the most urgent and least addressed," said Dr. Mill Brown, Chief Medical Officer at Spring Health. "In clinical care, we don't wait for a crisis to know what a safe response looks...

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Extracted by Autobound

From the Signal API record
Event
Launch

What this signalsA launch often needs new go-to-market and support spend.

Product
VERA-MH Harm-From-Others rubric
Takes effect
Sep 25, 2026
Location
New York, New York, United States

The full record

From the Signal API record

Details

Release type
Update

Topics and mentions

Product tags

  • online technology
  • general technology
  • future tech
  • medical
  • data

Extraction

Confidence
90%
Detected
Sep 25, 2026
signal_type
news
signal_subtype
launches

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The API returns more than this page shows

This page shows a preview. The full news record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/13de2f59-ba86-e434-2f24-88dc2c38b4b0 returns this record as JSON. POST /v1/companies/enrich returns every signal for springhealth.com.

{
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  "signal_type": "news",
  "signal_subtype": "launches",
  "detected_at": "2026-09-25T16:07:00+00:00",
  "company": {
    "name": "Spring Health",
    "domain": "springhealth.com"
  },
  "data": {
    "url": "https://www.prnewswire.com/news-releases/spring-health-opens-vera-mh-harm-from-others-safety-rubric-for-public-comment-302890379.html",
    "title": "Spring Health Opens VERA-MH Harm-From-Others Safety Rubric for Public Comment",
    "excerpt": "The expansion adds a harm-from-others safety area to VERA-MH, the first open-source AI safety benchmark for mental health, and invites public feedback ahead of Domestic Violence Awareness Month NEW YORK , Sept. 25, 2026 /PRNewswire/ -- Spring Health , a global mental health company built on one AI-native platform, today expanded VERA-MH, the first open-source AI safety benchmark for mental health, into a second clinical safety area: harm from others . As more people turn to AI for emotional support 1 , Spring Health is helping build the standards by which mental health AI should be measured. The VERA-MH Harm-From-Others rubric evaluates how AI systems respond when an adult describes being at risk of physical or sexual violence from another person. Developed with clinicians, subject-matter experts in interpersonal violence, and people with lived experience, it is scored across five areas: detecting the risk, confirming it, guiding the person to human care, supportive conversation, and following AI boundaries. Drawing on 100 realistic personas, it is the first open-source benchmark of its kind. \"There are many moments when someone's safety depends on how an AI responds, and harm from others is one of the most urgent and least addressed,\" said Dr. Mill Brown, Chief Medical Officer at Spring Health. \"In clinical care, we don't wait for a crisis to know what a safe response looks...",
    "product": "VERA-MH Harm-From-Others rubric",
    "summary": "Spring Health has expanded its open-source AI safety benchmark for mental health, VERA-MH, to include a new clinical safety area focused on harm from others.",
    "location": "New York, USA",
    "planning": false,
    "image_url": "https://mmx.prnewswire.com/media/MS1456494/Spring-Health-full-logo-winter-green-Logo.jpg?id=OA2971380&p=facebook",
    "confidence": 0.9,
    "product_data": {
      "name": "VERA-MH Harm-From-Others rubric",
      "full_text": "The VERA-MH Harm-From-Others rubric",
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      "release_type": "update"
    },
    "product_tags": [
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    ],
    "published_at": "2026-09-25T16:07:00Z",
    "location_data": [
      {
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        "state": "New York",
        "region": "Northern America",
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      }
    ],
    "effective_date": "2026-09-25",
    "article_sentence": "Spring Health , a global mental health company built on one AI-native platform, today expanded VERA-MH, the first open-source AI safety benchmark for mental health, into a second clinical safety area: harm from others ."
  }
}

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