FAR AI is a recent addition to the DirJournal trust graph, pending the full 12-point manual editorial audit. Last checked April 15, 2026. Source: nap.biz Identity Vault.
Editorial Verification
200 OK StatusAuto-Passed
Primary website is live, secure (HTTPS), and free of malware.
Domain AgeAuto-Passed
Real-world domain age (≥1 yr, verified via the Wayback Machine) OR pre-migration legacy ID OR ≥2 years of platform tenure. Survival across multiple search-engine update cycles is itself a trust signal.
Schema ValidationAuto-Passed
Valid Organization / ProfessionalService JSON-LD emitted on every page load — checked at render time.
Citation ClarityPending Manual Review
Verified outbound links to at least two authoritative sources (social profiles, sameAs URLs).
Operational HistoryAuto-Passed
Minimum 12-month active history in the claimed industry — derived from the business's founding year, Wayback-verified domain age, or listing tenure (any one signal passes).
Entity RegistrationPending Manual Review
Cross-referenced with official state or country business registries.
Physical FootprintData Incomplete
Verified non-virtual presence via Google Maps or official lease documentation.
Complete in DashboardActive LeadershipData Incomplete
Confirmation of key team members and executive roles.
Complete in DashboardNAP ConsistencyData Incomplete
Verified match of Name, Address, and Phone data across platforms.
Complete in DashboardProfessional LicensingPending Manual Review
Verification of required industry-specific certifications or licenses.
Sentiment AuditPending Manual Review
Manual review of third-party reputation signals (BBB, Trustpilot, etc.).
Editorial DiscretionPending Manual Review
Final human review to ensure the business provides genuine value.
This entity has not yet undergone the 12-Point Manual Editorial Audit. The points above marked Auto-Passed are system-derived; the manual checks need a human editor's sign-off.
DirJournal's Perspective · System-Derived Authority
FAR AI is a recent AI Safety Research Labs addition to the DirJournal trust graph. Initial automated checks (schema, citations, site reachability) are in place; the full 12-point manual editorial audit is the next verification tier.
About
FAR AI (Fund for Alignment Research) is a non-profit AI safety research organization, founded in 2022 and headquartered in Berkeley, California. Founded by Adam Gleave, FAR AI conducts technical AI safety research, fiscal sponsorship of AI safety projects, AI safety field building, and operates the FAR AI labs research program studying neural network robustness, adversarial attacks on AI systems, scalable oversight, and emerging risks from frontier AI models. The organization publishes peer-reviewed safety research, hosts AI safety workshops including the influential AI Risk Forum, supports independent researchers through grants, and contributes empirical safety research to the broader AI safety community building knowledge essential for safer AI development globally.
| Feature | Destination |
|---|---|
| AI Safety Research | |
| Neural Network Robustness | |
| Adversarial Attacks Research |
This listing is missing founding year, team members, pricing, hours, phone, and email. Claim ownership to add the missing details, respond to inquiries, and verify your business is represented accurately.