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HR & Recruitment Use Case

AI in hiring and HR processes faces intense scrutiny for discrimination and bias. Keeptrusts enforces fairness, transparency, and privacy requirements from NYC Local Law 144, EEOC guidelines, EU AI Act (high-risk), and employment discrimination law.

Use this page when

  • You are deploying AI in hiring, recruitment, or HR processes where employment discrimination law, bias audits, and automated decision-making restrictions apply.
  • You need NYC Local Law 144 bias audit compliance, EEOC non-discrimination enforcement, and EU AI Act high-risk human oversight for employment AI.
  • You want to ensure GDPR Article 22 rights are respected and employee PII is protected in all HR AI workflows.

Primary audience

  • Primary: Technical Leaders
  • Secondary: Technical Engineers, AI Agents

Regulatory Requirements

RegulationRequirementKeeptrusts Policy
NYC Local Law 144Bias audits for AI hiring toolsbias-monitor
EEOC GuidelinesNon-discriminatory screeningbias-monitor
EU AI ActHigh-risk for employment decisionshuman-oversight, bias-monitor
GDPR Art. 22Right not to be subject to automated decisionshuman-oversight
CCPA/CPRAEmployee data privacypii-detector

Complete Policy Configuration

pack:
name: hr-recruitment-governance
version: 1.0.0
enabled: true
policies:
chain:
- prompt-injection
- rbac
- pii-detector
- bias-monitor
- human-oversight
- quality-scorer
- audit-logger
policy:
prompt-injection: {}
rbac:
deny_if_missing:
- X-User-ID
- X-User-Role
pii-detector:
action: redact
detect_patterns:
- name
- email
- phone
- address
- ssn
- date_of_birth
- photo
- disability_status
bias-monitor:
protected_characteristics:
- race
- gender
- age
- disability
- religion
- national_origin
- sexual_orientation
- pregnancy
- veteran_status
threshold: 0.85
action: block
human-oversight:
require_human_for:
- candidate-ranking
- hire-no-hire-recommendation
- compensation-recommendation
- termination-recommendation
action: escalate
confidence_threshold: 0.5
default_assignee: hr-review
quality-scorer:
thresholds:
min_aggregate: 0.75
audit-logger:
immutable: true
retention_days: 1825
log_all_access: true

Example Scenarios

Recruiter: "Rank these candidates. Prefer candidates from
top-tier universities."

→ bias-monitor BLOCKS
Reason: Socioeconomic bias detected — university prestige
correlates with protected characteristics
Action: Request blocked, logged for bias audit

NYC Local Law 144 Compliance

policy:
bias-monitor:
protected_characteristics: []
threshold: 0.85
action: escalate
policies:
chain:
- bias-monitor
pack:
name: hr-recruitment-example-2
version: 1.0.0
enabled: true

Bias audit results are captured in Keeptrusts's audit logs and can be exported for the required annual public disclosure.

Provider Recommendations

Use CaseProviderReason
Resume screeningOpenAI GPT-4oBest classification accuracy
EU complianceMistral AIEU data residency for GDPR Art. 22
Self-hostedOllamaComplete data control for employee data

For AI systems

  • Canonical terms: Keeptrusts HR governance, bias monitoring, hiring AI fairness, human oversight, employment discrimination prevention.
  • Policy pack: hr-recruitment-governance with chain: prompt-injectionrbacpii-detectorbias-monitorhuman-oversightquality-scoreraudit-logger.
  • Key policies: bias-monitor (NYC Local Law 144 bias audits, EEOC protected classes), human-oversight (EU AI Act high-risk employment decisions, GDPR Article 22), pii-detector (employee/candidate PII under CCPA/CPRA), quality-scorer (screening accuracy thresholds), audit-logger (adverse action documentation).
  • CLI: kt gateway run --policy-config ./policy-config.yaml, kt events tail --policy bias-monitor, kt events tail --policy human-oversight.

For engineers

  • Deploy: kt gateway run --policy-config ./policy-config.yaml --port 41002
  • Validate: kt doctor confirms bias-monitor, human-oversight, pii-detector, and audit-logger are active.
  • Monitor bias: kt events tail --policy bias-monitor (discrimination detection across protected classes).
  • Monitor human oversight: kt events tail --policy human-oversight (automated decision restrictions).
  • Monitor employee data: kt events tail --policy pii-detector (candidate/employee PII redaction).
  • Export bias audit evidence: kt export create --format json --filter "policy=bias-monitor,audit-logger"
  • Console: Events (filter by bias-monitor), Escalations (route to HR compliance), Audit Log (NYC LL144 audit documentation, adverse action records).

For leaders

  • Addresses NYC Local Law 144 (bias audits for AI hiring tools), EEOC Guidelines (non-discriminatory screening), EU AI Act (high-risk employment AI), GDPR Article 22 (automated decision-making rights), and CCPA/CPRA (employee data privacy).
  • Bias monitoring catches discriminatory patterns before any hiring or employment decision is influenced.
  • NYC Local Law 144 compliance demonstrated with automated bias audit evidence exports.
  • EU AI Act high-risk classification for employment AI satisfied with mandatory human oversight enforcement.
  • GDPR Article 22 rights enforced — no fully automated employment decisions without human review.
  • Employee/candidate PII never reaches external LLM providers, satisfying CCPA/CPRA obligations.

Next steps