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External Scorecards

Side-by-side overall grades from the five major external AI-safety scorecards. Click any row to view per-dimension grades on the organization's profile.

Scorecards
5
Sources w/ Data
5
Organizations
25
Cells
57

Overall grades — latest wave per scorecard

OrganizationFLI IndexSaferAIAI Lab WatchFMTISeoul Tracker
AI21 Labs———66—
Alibaba CloudD-——26—
Amazon—Very Weak—39Fulfilled
AnthropicC+WeakWeak46Fulfilled
Cohere—Very Weak——Partial
DeepSeekD—Very Weak32—
G42—Very Weak——Fulfilled
Google———41Fulfilled
Google DeepMindCVery WeakVery Weak——
IBM———95Unfulfilled
Inflection AI————Unfulfilled
Magic—Very Weak———
Meta AI (FAIR)DVery WeakVery Weak31Partial
Microsoft AI—Very WeakVery Weak—Fulfilled
Midjourney———14—
Mistral———18Unfulfilled
Naver—Very Weak——Partial
NVIDIA—Very Weak———
OpenAIC+WeakVery Weak35Fulfilled
Samsung Electronics————Unfulfilled
Technology Innovation Institute————Unfulfilled
Writer———72—
xAIDVery WeakVery Weak14Partial
Z.aiD————
Z.aiD———Unfulfilled

Methodology

FLI AI Safety Index

by Future of Life Institute

Letter-grade ratings of frontier AI labs across six safety domains: risk assessment, current harms, safety frameworks, existential safety, governance, and information sharing.

Source ↗Methodology ↗Latest: Winter 2025License: fair-use-citation

SaferAI Ratings

by SaferAI

Continuously-updated risk-management ratings for frontier developers across four pillars: risk identification, analysis & evaluation, treatment, and governance.

Source ↗Methodology ↗Latest: October 2025License: CC BY-SA 4.0

AI Lab Watch

by Zach Stein-PerlmanNo longer maintained

Weighted scorecard across seven categories (risk assessment, scheming prevention, safety research, misuse prevention, security, info sharing, planning).

Source ↗Methodology ↗Latest: September 2025 (frozen)License: fair-use-citation

Foundation Model Transparency Index

by Stanford CRFM

Transparency-focused index scoring developers on 100 indicators across upstream resources, the model itself, and downstream use.

Source ↗Methodology ↗Latest: v1.2 December 2025License: CC-BY-4.0

Seoul Commitment Tracker

by The Midas Project

Tracks adherence to the Seoul Frontier AI Safety Commitments via 'Fulfilled / Partial / Unfulfilled' verdicts on five red-line components.

Source ↗Methodology ↗Latest: February 2025License: fair-use-citation

Grades are mirrored from upstream sources. We do not score organizations ourselves — see each row's source link for methodology and full per-dimension grades. Citation of published grades is consistent with fair-use attribution.