Verified Ai Safety Experts — Institutional-Grade Data

Description

Chief AI Officers, Legal & Compliance VPs, and AI Governance leads at enterprises deploying LLMs in production use this dataset to identify practitioners specializing in AI risk, alignment, and safety evaluation — a critical hire as EU AI Act enforcement begins in 2026.

What’s Inside

• Full Name — verified professional identity
• Current Role / Title — AI Safety Researcher, AI Risk Analyst, Alignment Engineer, AI Policy Specialist, Responsible AI Lead, etc.
• Core Skills — red-teaming, RLHF, constitutional AI, model evaluation, EU AI Act / NIST AI RMF, bias auditing, adversarial testing
• Seniority Level — Junior / Mid / Senior / Staff / Principal
• Activity Score — proprietary 0–100, recent professional engagement signal
• Location — city + country
• Contact Signal — outreach-ready identifier

50 verified records · CSV delivery · Updated April 2026

B2B Use Cases

1. Compliance team buildout: A VP Legal at a fintech deploying credit-scoring AI uses Regulatory Specialization to find practitioners with NIST AI RMF experience — mandatory for their Q3 2026 audit.
2. AI safety vendor prospecting: A VP Sales at an AI red-teaming firm uses Activity Score + Role Title to identify safety leads at enterprises that have publicly committed to responsible AI — the highest-conversion buyer profile for safety tooling.

Methodology

• Source: Academic publication signals (ArXiv AI safety papers) + professional network data + AI safety conference attendee data (NeurIPS, ICLR, FAccT)
• Verification: Manual QA on role alignment and regulatory expertise
• Update cadence: Monthly — this batch: April 2026

Download the full dataset — 50 verified AI Safety Expert profiles →