Worked Examples

Nine real-world templates for disclosing AI authority across public services. Each includes the decision-grade level, system description, AI and human roles, contestability paths, and oversight mechanisms.

Assistive

Medicaid Recertification

Summary

Auto-renews coverage when no changes detected. Flags complex cases for worker review. 60% auto-renewed, 40% reviewed by a human. Coverage continues during review.

Service

Medicaid Expansion Eligibility Recertification

Agency

[State] Medicaid Program

What This System Does

Automated recertification every 6 months (federal requirement).

AI Role

  • Checks databases for income, employment, and address changes
  • Auto-renews if no changes and still eligible
  • Flags data mismatches for worker review

Human Role

  • Workers review all flagged cases
  • Workers determine what additional information is needed
  • Workers make the final determination

For Members

  • If auto-renewed: Confirmation notice, no action needed
  • If flagged: Letter explaining what is needed, 30 days to respond

Contestability

  • Call your worker: [phone]
  • Submit reconsideration if terminated
  • 90-day appeal window

Oversight

  • Monthly monitoring of auto-renewal and termination rates
  • Quarterly review for unnecessary documentation requests
  • Bias testing for disproportionate flagging

Advisory

Unemployment Fraud Detection

Summary

Generates risk scores (0–100). An investigator must find independent evidence before any action. The score alone cannot deny benefits. Claimants are notified before review begins.

Service

Unemployment Insurance Fraud Detection

Agency

[State] Employment Security Department

What This System Does

Flags claims for potential fraud investigation.

AI Role (Advisory Only)

  • Generates risk score based on application patterns and data inconsistencies
  • Score alone cannot deny benefits or trigger penalties

Human Role

  • All high-risk scores reviewed by a fraud investigator
  • Investigator must document independent evidence
  • Action requires investigator findings, never the score alone

If Flagged

  • Written notice within 3 business days
  • Right to provide documentation before determination
  • Determination must cite investigator findings

Oversight

  • Independent audit every 6 months
  • False positive rate published quarterly (target <5%)
  • System disabled if false positive rate exceeds 10%
Safeguards from Michigan MiDAS Failure

Michigan's MiDAS automated fraud detection produced a 93% false positive rate, wrongly accusing tens of thousands of claimants. These safeguards directly address that failure:

  • The system flags; it does not decide. There are no automated denials.
  • Every flagged case gets a trained investigator. Human review is mandatory.
  • Claimants know before any adverse action. Notification precedes investigation.

Advisory

SNAP Documentation Check

Summary

Scans case files for missing documents. Worker decides if additional info is needed. The system does not determine eligibility, calculate benefits, or auto-deny applications.

Service

SNAP Error Rate Reduction

Agency

[State] Department of Human Services

What This System Does

Helps workers identify missing documentation before federal audits.

AI Role

  • Scans for missing income verification, address docs, and signatures
  • Generates a checklist for worker review

Human Role

  • Worker reviews alerts and decides if additional docs are needed
  • Worker can mark alerts as inapplicable
  • Worker makes the final eligibility determination

For Applicants

  • What may change: You may receive requests for additional documentation
  • What stays the same: Eligibility criteria, benefit amounts, and timelines

Why This Exists

Federal law (HR1) penalizes states for insufficient documentation. This helps workers complete case files to protect state SNAP funding.

Limitations

  • Does not calculate benefit amounts
  • Does not determine eligibility
  • Does not auto-deny applications
  • Does not share data with immigration enforcement

Advisory + Limited Determinative

Child Welfare Hotline Screening

Summary

Generates risk scores (0–20). Scores of 18–20 trigger mandatory investigation. Below 18, the screener decides. The score supplements clinical judgment for 95% of calls.

Service

Child Welfare Hotline Screening

Agency

[County] Department of Human Services

What This System Does

Generates risk assessment scores for incoming hotline calls.

AI Role

  • Scores 0–20 based on CPS history, child age, allegation type, and environmental factors
  • Scores 18–20: Automatic face-to-face investigation within 24 hours (state law)
  • Scores below 18: Score is one input among many; the screener decides

Human Role

  • Screeners review all calls
  • Screeners can upgrade response regardless of score
  • Supervisory review required to screen out calls scored above 15

Contestability

  • Request supervisor review during the call
  • Administrative review within 5 business days
  • Score and notes available through records request

Oversight

  • Weekly screener calibration sessions
  • Quarterly bias audit (race, zip code, reporter type)
  • Annual recalibration
  • Community advisory board reviews aggregate data

Advisory

911 Call Prioritization

Summary

Suggests priority level based on call keywords and location. Dispatcher makes the final determination and can override any suggestion. All life-threatening calls get immediate response regardless of system output.

Service

Emergency Call Dispatch

Agency

[City] 911 Communications

What This System Does

Assists dispatchers in prioritizing emergency response.

AI Role

  • Analyzes call keywords, location, and historical patterns
  • Suggests priority level (1–5, with 1 being highest)
  • Flags potential life-threatening situations

Human Role

  • Dispatcher makes all final determinations
  • Can override any suggestion with no documentation requirement
  • Life-threatening calls get immediate response regardless of system input

For Callers

The system helps speed up response. A trained dispatcher always decides what resources to send.

Oversight

  • Weekly review of override rates
  • Monthly audit of response times by priority level
  • Quarterly review of cases where system suggestion differed significantly from dispatcher decision

Limitations

  • Cannot assess caller tone or urgency beyond keywords
  • May miss regional dialects or uncommon emergency descriptions
  • Dispatcher training emphasizes professional judgment over system output

Assistive

Business License Application

Summary

Auto-approves when all requirements are verified. Flags incomplete or complex applications for reviewer. All edge cases get human review.

Service

Business License Application Processing

Agency

[City] Business Licensing Department

What This System Does

Processes routine business license applications.

AI Role

  • Verifies business address, zoning compliance, and fee payment
  • Auto-approves when all requirements are met and there are no complications
  • Flags applications with zoning questions, special permit needs, or incomplete info

Human Role

  • Licensing specialist reviews all flagged applications
  • Specialist determines what additional documentation is needed
  • Specialist makes the final determination on complex cases

For Applicants

  • Auto-approved: License issued within 24 hours
  • Flagged: Email within 2 business days explaining next steps

Contestability

  • Request manual review: [email/phone]
  • Appeal denial: [process link]
  • All denials include specific reasons and required corrections

Oversight

  • Sample 5% of auto-approvals monthly for accuracy
  • Track approval/denial rates by business type and neighborhood
  • Quarterly bias review

Advisory

Special Education Screening

Summary

Flags students who may need evaluation. The school team makes all decisions about assessment and services. The system identifies patterns; it does not diagnose or determine eligibility.

Service

Special Education Needs Identification

Agency

[District] Special Education Services

What This System Does

Helps identify students who may benefit from special education evaluation.

AI Role

  • Analyzes attendance patterns, grades, and behavioral referrals
  • Flags students showing patterns associated with learning challenges

Human Role

  • Teachers or parents can request evaluation regardless of system flag
  • School team (teachers, specialists, parents) reviews all flagged cases
  • Licensed professionals conduct assessments and determine eligibility

For Families

The system helps ensure students are identified early. Evaluation decisions involve you and the school team. Parent-requested evaluations proceed regardless of the system.

Oversight

  • Monthly review of flagged students by special education coordinator
  • Annual bias audit by demographic group
  • Parent feedback collected on referral process

Limitations

  • This is a screening tool only
  • Flags indicate patterns worth investigating, not eligibility
  • Cannot override parent-requested evaluations

Advisory

Building Inspection Prioritization

Summary

Ranks properties for inspection based on risk factors. Inspector decides the final schedule and findings. The system helps prioritize limited resources. It does not determine pass/fail or penalties.

Service

Building Safety Inspection Scheduling

Agency

[City] Building and Safety Department

What This System Does

Helps prioritize which properties get inspected when.

AI Role

  • Ranks properties based on building age, prior violations, complaint history, and neighborhood risk factors
  • Suggests inspection priority order

Human Role

  • Inspector can move urgent cases up in the queue
  • Inspector conducts all inspections and makes findings
  • Inspector determines violations and required corrections

For Property Owners

  • You can request an inspection regardless of system priority
  • System ranking does not affect inspection standards or outcomes
  • All violations and penalties are determined by a licensed inspector

Oversight

  • Monthly review: are high-priority properties actually higher risk?
  • Quarterly demographic analysis to prevent biased targeting
  • Annual review of inspection outcomes vs. system predictions

Transparency

  • Ranking factors publicly documented
  • Property owners can request their property's risk score
  • System logic published publicly

Assistive

Housing Assistance Eligibility

Summary

Verifies income and household size. Auto-approves clear cases. Housing specialist reviews complex situations. Automatic approval only when income is verified and household composition is clear. All edge cases get human review.

Service

Section 8 Housing Choice Voucher Eligibility

Agency

[City] Housing Authority

What This System Does

Determines initial eligibility for housing assistance.

AI Role

  • Verifies income through database checks (employment, tax records)
  • Confirms household size and composition
  • Auto-approves when: income clearly below threshold, household verified, no complications
  • Flags: income near threshold, household composition questions, special circumstances

Human Role

  • Housing specialist reviews all flagged applications
  • Specialist assesses special circumstances (medical expenses, childcare costs)
  • Specialist makes the final determination on complex cases

For Applicants

  • If auto-approved: Notification within 5 days, move to waitlist
  • If flagged: Specialist contacts you within 10 days for additional info

Contestability

  • Request manual review: [phone/email]
  • Provide additional documentation at any time
  • Appeal denial through formal process
  • Free legal assistance available at [organization]

Oversight

  • Sample auto-approvals for accuracy
  • Monitor denial rates by demographic group
  • Track how often manual review overturns auto-decisions

Limitations

  • Cannot verify unreported income
  • Cannot assess special hardship circumstances
  • May miss household composition changes
  • These situations require specialist review