Meta

C

Technology conglomerate. LLaMA open-weight models, FAIR research lab.

HQUS
Est2004
Size5000+
EU AI ActGeneral-Purpose AI
ai.meta.com
Score
43.8 / 100
Evidence
12 items

Developing safety practices — core foundations in place with room for improvement.

Strengths:Technical Safety
Weaknesses:Governance Maturity, Risk Assessment, Regulatory Readiness, External Engagement
Focus Areas
foundation modelsopen source aisocial mediaconsumer ai

Dimension Breakdown

GM
Governance Maturitymedium
Published policies, corporate structure, safety mandate, whistleblowing, executive commitment.
40
3 evidence items
GM-01
TS
Technical Safetymedium
Benchmarks, adversarial robustness, fine-tuning safety, watermarking, model cards, research output.
52
4 evidence items
TS-01TS-05TS-07
RA
Risk Assessmentlow
Dangerous capability evaluations, thresholds, external testing, bug bounty, halt conditions.
35
2 evidence items
RA-06RA-08
RR
Regulatory Readinesslow
ISO 42001, EU AI Act compliance, GPAI obligations, international commitments, incident reporting.
45
1 evidence items
RR-04
EE
External Engagementmedium
Survey participation, research support, transparency, behavior specs, open-source contributions.
48
2 evidence items
EE-06

Need a detailed report for Meta?

Indicator-level evidence, peer benchmarking, regulatory gap analysis, and quarterly monitoring.