What it is
Training has two parts, and organizations often stop after the first. Orientation tells people what the tool does and which information must stay out of it. Drilling teaches the harder skill of checking the tool's output against its source, and people have to repeat the drills as the tool changes. At its strong tier the Lab adds standing verification drills on protected time.
What it pushes on in the Lab
In the Lab, this lever holds down operator deference drift. It raises the checking and correcting that the people using the system can do. It also weakens the pathway by which people paste client data into an unsanctioned tool.
You can also pull this lever at a strong tier, which costs more. At the strong tier, each effect below the Lab's strongest setting pushes harder.
In the modes that offer aiming, you can aim this lever at particular parts and pathways of a network. Otherwise it applies to the whole network.
Its pattern in the Practice Library
The Practice Library describes the pattern behind this lever:AI literacy & boundary rules
The pressures it answers
These pressures list this lever among the levers that answer them:
- Workload surges
- Staff turnover
- Autonomy expands
- AI-literacy gap widens
- Conformity spreads
- Unsanctioned AI use
- Expectations outrun the gains
A lever answers a pressure when it pushes the other way on something the pressure pushes on.
Where you can pull it
Networks in the Lab that offer this lever:45
- A contact centre's generative-AI agent assist
- A heavy-industry predictive-maintenance deployment
- Amazon fulfillment-centre algorithmic management
- Audi press-shop inspection
- Automated visual inspection of injectable drugs
- BAMF dialect recognition
- BMW AIQX inspection
- CA-CDS Child Abuse Alerting
Every network that offers it
- CDTFA Axyom Assist
- Chicago Public Schools On-Track indicator
- Citi Retail Services Judgmental Review
- CNET AI-drafted articles
- Colorado Family Safety and Risk Assessments
- CORA, the DC CFSA policy assistant
- Credit Acceptance's net-collections Score, inside CAPS
- DPD customer-support chatbot
- Equifax's Online Model Server
- Gated coding-assistant rollout at a regulated bank
- GitHub Copilot at ZoomInfo
- Google's child-safety detection and account enforcement
- IDx-DR Autonomous Screening
- iTutorGroup Tutor Application Screen
- Klarna AI assistant
- Mass.gov Virtual Assistant
- Michigan MiDAS
- Navy Federal mortgage underwriting
- NJ AI Assistant
- NYC Teenspace
- Oportun Financial Corporation's legal-collections pipeline
- Practice Fusion Pain CDS
- Predictive maintenance on a high-speed rail fleet
- Robodebt (Australia)
- Sports Illustrated AI bylines
- Stratification Tool for Opioid Risk Mitigation
- Tessa chatbot replacing the NEDA eating-disorder helpline
- The GIFCT hash-sharing database and member matching system
- The NCMEC CyberTipline reporting and triage system
- The Sama Nairobi content-moderation workforce for Meta
- TikTok's EU and UK content-moderation operation
- TransUnion OFAC Name Screen
- United Behavioral Health's Level of Care Guidelines
- Wells Fargo refinance underwriting (CORE/ECS)
- Wisconsin DEWS
- X Multilingual Hate-Speech Enforcement
- YouTube Covid-19 enforcement
The evidence behind its effects
The Lab cites no claim from the evidence registry for this lever's effects. The Lab's authors set the direction and size of each effect.