ADP
ADP is an enterprise human capital management and payroll provider whose recruiting suite uses AI to parse, rank, and match job applicants via its Candidate Relevancy tool, ADP Assist generative-AI assistant/job-description generator, and skills intelligence.
§ 01 — Score breakdown
§ Score breakdown
Category scoring
Weighted contribution shown to the right of each bar.
- 01
Article 11 Technical Documentation
Weight 20%53
+10.6
- 02
Bias Audit Transparency
Weight 18%46
+8.3
- 03
FRIA Support
Weight 15%28
+4.2
- 04
Data Governance Disclosure
Weight 15%57
+8.5
- 05
Human Oversight Design
Weight 12%55
+6.6
- 06
Post-Market Monitoring
Weight 12%45
+5.4
- 07
Customer Documentation
Weight 8%58
+4.6
§ 02 — Strongest · weakest
Strongest category
Customer Documentation
Raw score 58 · contributes 4.6 to total.
Weakest category
FRIA Support
Raw score 28 · contributes 4.2 to total.
§ 03 — Cited evidence
§ Evidence
Cited per category
Every score is backed by at least one cited piece of evidence.
§ 04 — Editorial notes
Company overview
ADP (Automatic Data Processing), founded in 1949 and headquartered in Roseland, New Jersey, is one of the world's largest HCM and payroll providers, serving tens of millions of workers across roughly 140 countries. Its recruiting stack — ADP Workforce Now Recruitment and ADP Recruiting Management — layers AI onto the ATS: Candidate Relevancy parses resumes and delivers a graphical side-by-side ranking of how closely each applicant's skills, education, and experience match a job description, while ADP Assist (generative AI) powers a skills-focused job-description generator and a chat-based HR assistant. Recruiting AI is a modest slice of a payroll-centric business, so its public AI documentation is oriented around company-wide data-ethics posture rather than product-specific model transparency.
Regulatory exposure
ADP's Candidate Relevancy tool ranks and scores applicants, placing it squarely inside NYC Local Law 144's Automated Employment Decision Tool scope and within EU AI Act Annex III high-risk employment scope, with additional exposure under Illinois and Colorado AI-hiring rules. ADP states the tool is not trained on protected demographic attributes and cites a 2024 independent evaluation that found no statistical evidence of bias, but it publishes no downloadable audit report, names no auditor, and provides no NYC LL 144 public audit summary. There is no EU AI Act deployer guidance, FRIA template, or ISO 42001 material anywhere on its public site; security certifications (ISO 27001/27701, SOC 1/SOC 2 Type 2) exist but are gated behind NDA.
Path to a higher score
ADP could move materially higher by publishing the referenced independent bias audit as a downloadable report (named auditor, date, methodology, intersectional results) and posting recurring NYC LL 144 summaries. Pursuing ISO 42001 certification and releasing per-system technical documentation, model cards, and instructions-for-use would lift the Article 11 and data-governance scores. Adding explicit EU AI Act deployer guidance and a FRIA support package, documenting in-product explainability and audit-log/override controls, and offering a public trust portal (rather than NDA-gated certs) plus an AI-specific status/changelog channel would close the remaining gaps.
Conflicts of interest
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