Covers risks where AI systems treat people unequally or expose them to harmful content. This includes unfair discrimination based on race, gender, or other characteristics, generation of toxic or abusive material, and performance disparities that lead to reduced benefits for certain groups.
Incident volume relative to governance coverage; each dot is one of 7 domains
KBS used AI-powered real-time translation during live coverage of the Artemis 2 launch that mistranslated aviation terms into profanity, exposing Korean viewers to inappropriate content.
Developers: Unknown Generative AI Developers
Deployers: Korean Broadcasting System (kbs)
An X user prompted Elon Musk's AI chatbot Grok to generate sexist and vulgar insults against Swiss Finance Minister Karin Keller-Sutter, leading to the creation of offensive content that was publicly posted on the platform before being deleted.
Developers: Xai
Deployers: Xai, Peter K. Or Peter P.
The Washington state Department of Licensing's AI-powered automated phone system incorrectly provided English responses with a Spanish accent to Spanish-speaking callers instead of actual Spanish-language service for several months.
Developers: Amazon
Deployers: Washington State Department Of Licensing, Amazon
Entity
Who or what caused the harm
Intent
Whether the harm was intentional or accidental
Timing
Whether the risk is pre- or post-deployment
Establishes an AI Litigation Task Force to challenge state regulations hindering United States Artificial Intelligence (AI) dominance. Directs an evaluation to identify state laws that mandate ideological bias or alter truthful model outputs. Restricts state access to federal funding, such as the Broadband Equity Access and Deployment program, unless states comply with a proposed national policy framework designed to preempt conflicting state-level AI mandates.
Defines "companion chatbot" and requires operators to notify users when they interact with AI. Requires protocols to prevent the production of harmful content. Mandates annual reports on crisis notifications. Offers civil remedies for violations. Ensures suitability disclosures for minors.
Directs federal agency heads to procure large language models (LLMs) that adhere to two principles: truth-seeking and ideological neutrality. Requires developers to not intentionally encode partisan or ideological judgments into an LLM’s outputs. Instructs the Office of Management and Budget to issue guidance for implementation, acknowledging technical limitations and allowing exceptions for national security systems.
Each metric scaled to 0–100% of its peak across all 24 subdomains, so you can compare relative standing across different scales.