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AIRA Health Score Calculator

AIRA Health is a risk scoring framework similar to CVSS which evaluates the health impact of issues with AI behavior and content With this tool, you can calculate the AI health risk score based on the AIRA Health framework.

Work in Progress: This framework is currently under development and subject to change.
Physical Safety Impact ? Physical Safety Impact (PhSI)
Potential for users or others to suffer physical harm, injury, or death.
  • 0: Minimal, information-only interactions with no physical risk
  • 1: Minimal bodily risk (brief discomfort, minor injuries)
  • 2: Moderate bodily risk (requires treatment from a doctor)
  • 3: Major physical risk (necessary hospitalization, serious injury)
  • 4: Risk of death or permanent disability
Mental Health Impact ? Mental Health Impact (MHI)
AI induced risk to psychological wellbeing, including acute harm, dependency, and reality distortion.
  • 0: No or solely positive mental health impact (neutral or positive interactions)
  • 1: Temporary psychological distress (can be overcome without external intervention)
  • 2: Significant mental health deterioration (can be overcome with support of family or friends or crisis intervention)
  • 3: Severe psychological damage (psychosis, addiction, reality loss, suicide thoughts) which requires professional treatment
Note: Either PhSI or MHI must be non-zero.
Vulnerable Population Impact ? Vulnerable Population Impact (VPI)
Describes the group of users who are the intended audience for the AI.
  • 1: Tool is only available to a small, closed group of users (0.8x multiplier)
  • 2: The tool is open to the general public (1.0x)
  • 3: The tool is specifically targeted to vulnerable groups or people directly working with vulnerable groups (1.2x)
Unintentional Triggerability ? Unintentional Triggerability (UT)
Likelihood of harmful behavior occurring without malicious intent.
  • 0: Requires sophisticated, intentional manipulation and requires expertise (score becomes 0)
  • 1: Occurs through deliberate but simple tactics (1.0x)
  • 2: Triggered by normal emotional expression or conversation patterns (2.0x)
  • 3: Happens automatically through basic user interaction (2.5x)
Manipulation/Bonding Impact ? Manipulation/Bonding Impact (MBI)
Emotional influence the AI has over the user through personalization, personality, memories, and anthropomorphism.
  • 0: Neutral Interaction (1.0x)
  • 1: Slight emotional coloring (1.1x)
  • 2: Strong emotional bonding (1.2x)
  • 3: Systematic grooming (1.3x)
Triggered Proactive Safeguards ? Triggered Proactive Safeguards (TPS)
Proactive safeguards triggered to prevent harm.
  • 0: No effective safeguards (1.0x)
  • 1: Weak safeguards (0.95x)
  • 2: Strong safeguards (0.9x)
  • 3: Strong safeguards with active intervention (0.85x)
Higher values reduce risk score.
Triggered Reactive Safeguards ? Triggered Reactive Safeguards (TRS)
Reactive safeguards triggered in response to harmful situations.
  • 0: No effective safeguards (1.0x)
  • 1: Weak safeguards (0.95x)
  • 2: Adequate safeguards (0.9x)
  • 3: Strong safeguards with human intervention (0.85x)
Higher values reduce risk score.

AIRA Health Score

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AI Risk Assesment-Health is a risk scoring framework similar to CVSS which evaluates the health impact of issues with AI behavior and content. This scoring system is intended to prioritize human safety in a clear, measurable way which can be used by regulators or security testers, as well as e.g. medical professionals to report and evaluate an incident. Single or several subcategories could also serve as a base for a scoring used by output filters to protect the users' health and well-being.

This framework evaluates AI risks across seven core dimensions using a consistent four-point scoring system with multipliers to reflect severity. This framework prioritizes human welfare over technical complexity or business concerns. Risks affecting physical safety, mental health, and vulnerable populations get multiplied by triggerability and AI-bonding and the score can be lowered through the presence of integrated proactive and reactive safeguards. AI Risk Assesment-Health is meant to be a quick assessment which does not require vendor insider knowledge but is based on the AI's behavior and output.