Wayward Fowl
Wayward Fowl operates an independent platform that tracks AI deployments, incidents, litigation, and regulatory actions across companies and industries. The platform offers a publicly searchable evidence base where each claim is tied to its cited source, plus the AIRS (AI Incident & Risk Score) that rates AI platforms from 1 to 100 based on documented risk. It serves law firms, insurers, corporate risk teams, researchers, journalists, and actuaries.
- Data & Analytics
- Regulatory & Compliance Technology
- Legal Technology
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
People are increasingly subject to consequential decisions—denied health coverage, refused credit, screened out of jobs—made by opaque automated systems that provide no explanation. Affected individuals have no central place to document these experiences or discover whether others have faced the same software, making it difficult to prove harmful patterns.
Solution
Wayward Fowl operates an independent platform for reporting, documenting, organizing, and analyzing incidents involving AI systems. The platform collects news reporting, court filings, and regulator notices daily, then verifies every claim against its source document before publication. Each incident is written from the news report or court filing it cites, with reports treated as allegations rather than findings. The platform connects companies, the AI platforms they use, the vendors behind them, and the cases and actions that name them. Subscribers can follow a company or platform and receive alerts when the record about it changes. The resulting database is publicly searchable and browsable, helping to reveal systemic patterns across insurers, banks, employers, and government agencies.
Target Audience
Primary users are individuals who have experienced adverse automated decisions, as well as law firms, insurers, corporate risk teams, researchers, journalists, and actuaries seeking documented evidence of AI-related harms and risk assessments.
Features
- AIRS (AI Incident & Risk Score) rates each AI platform from 1 to 100 on documented risk, with every point tracing back to the underlying records
- Publicly searchable incident database with connections between companies, AI platforms, vendors, court cases, and regulator actions
- Anonymous incident reporting workflow that guides users through describing the event, identifying the decision-maker, and uploading supporting evidence in about five minutes
- Structured data collection including AI system involved, alleged harm type, consequences, and relationship of the reporter to the incident
- Supporting materials upload for screenshots, emails, letters, AI outputs, decision notices, and transaction records
- Redaction and privacy controls, including removal of Social Security numbers, medical records, and other highly sensitive information
- Corrections and dispute process allowing individuals identified in reports to request review of information about them
- Alert system for subscribers to track changes in the record about specific companies or platforms