Case bank

Cases for the Ethics Case Analysis and for class discussion. Every case here is already documented, so the required work is analysis and not original investigation. Off-bank cases are welcome with instructor approval.

Harm cases and success cases are held to the identical standard. If you pick a success, you still run the full protocol, and the Side B questions (what made it work, would it replicate) matter most.

Option A, Harm cases

The AI Incident Database Discover screen. A left sidebar lists Table View, List view, Entities, Taxonomies and Spatial View. A search box sits above filters for classifications, source, incident date, published date and language, and a counter reads 1630 results found. Three result cards follow: a Kronos scheduling algorithm and Starbucks employees, BlenderBot 3 naming a Dutch politician as a terrorist, and AI tools that failed to predict COVID patients.
The AI Incident Database’s Discover screen, indexing 1,630 incidents with filters for classification, source and date. The three results here are the kind of case the bank draws on: a scheduling algorithm, a chatbot naming a real person as a terrorist, and clinical prediction tools that did not work. Screenshot of the AI Incident Database, August 2026.
Harm cases, with the sector each comes from and a documented source to start from
CaseSectorStart here
Michigan MiDAS (the local one)Unemployment benefitsAngwin’s Markup investigation; Bridge Michigan on the human toll. 40,000 people falsely accused of fraud at a 93% error rate.
Allegheny Family Screening ToolChild welfareEubanks’ account plus the AP investigation and the DOJ scrutiny that followed.
Dutch childcare benefits scandal (toeslagenaffaire)Child benefitsAmnesty International, Xenophobic Machines. It brought down a government.
Australia RobodebtBenefits recoveryThe Robodebt Royal Commission; a scheme ruled unlawful after years of automated debt letters.
SafeRentTenant screeningThe 2024 settlement over algorithmic scoring of housing-voucher applicants.
TennCare ConnectMedicaid eligibilityThe 2024 federal ruling; often called MiDAS’s successor.
UnitedHealth nH PredictHealth coverageThe class action over algorithmic denial of post-acute care, with a reported ~90% appeal-reversal rate.
LA VI-SPDATHomelessness servicesThe Markup’s 2023 investigation of vulnerability scoring.
ICE automated enforcementImmigrationJust Futures Law and Mijente, Automating Deportation.
COMPASCriminal justiceProPublica’s Machine Bias, the piece that started the modern fairness debate.
A case study page on the Michigan unemployment insurance false fraud determinations. It shows the case title and the opening of its account of the MiDAS system.
The BTAH case study on Michigan’s unemployment insurance system, one of the sources the table above points at. Screenshot of the BTAH case study on Michigan unemployment insurance, July 2026.

Option B, Success cases

The GetCalFresh homepage. It is headed CalFresh (SNAP) in California, with a plain-language explanation of what to expect when applying and a button to start an application.
The GetCalFresh application as an applicant meets it. Screenshot of getcalfresh.org, July 2026.

Evidence strength varies and naming it honestly is part of the assignment.

Success cases, with what each one is and how strong the evidence for it is
CaseWhat it isEvidence
GetCalFresh (Code for America)Simplified SNAP applicationsStrong; embedded trials over a decade
Annie MOORE / GeoMatchAlgorithmic refugee placement matchingStrong (Science 2018), plus a 2025 re-evaluation
LA County Homelessness Prevention UnitPredictive risk used preventivelyStrong; 71% reduction in shelter entry, equity-audited, randomized trial underway
Te Hiku Media / Papa ReoMāori-owned speech AI under a data-sovereignty licensePromising; governance is the central evaluation criterion
NVDA screen readerFree, blind-developer-led screen readerStrong adoption; broke a $1,000 price monopoly
Trevor Project Crisis Contact SimulatorAI role-play for counselor trainingPromising; the roleplay includes built-in content guardrails
mReliefSMS-first benefits outreachPromising; 2025 Maryland pilot
Clear My Record (Code for America)Automated record clearanceStrong scale; 144,000+ convictions
Telehealth mental health expansionPost-2020 access shiftStrong in systematic reviews, with equity caveats
M-Pesa (Kenya)Mobile moneyStrong and contested; the Science study and its methodological critique are both assigned territory
DHIS2Open-source health data platform, 70+ countriesStrong adoption; documented at national scale in multiple countries
Detroit Equitable Internet InitiativeCommunity-owned mesh broadbandPromising; ten years of Black-led operation, no formal outcome evaluation
Missing Maps / Humanitarian OpenStreetMapVolunteer humanitarian mappingStrong activity evidence; the Week 12 lab contributes to it

Case outcomes

Discontinued projects are as instructive as running ones. Benefits Data Trust closed in 2024 after two decades. Woebot retired its consumer app in 2025 despite a strong randomized trial and FDA breakthrough designation. 18F, the federal digital services agency, was eliminated in 2025. Three different causes of death, none of them “the technology didn’t work.” The Week 13 pre-pitch consult returns to them when each group pressure-tests whether its plan survives after the grant, the consultant, or the champion leaves.

Self-check

Six failure types cover most of what the bank documents, and a case brief that names the wrong one usually goes on to recommend the wrong repair. Each item below states facts about a case the course covers, one of them a success case with no failure in it, and the drill is to name what kind of failure those facts describe.

Most items take one type and three take more than one. Select every type that applies, then press Check for that item. An item cannot be changed once it is checked.