Skip to content

PAN Lab levers

Lever

Mark AI-written records

The organization marks every entry that an automated system wrote into its records. A person reading a case can see which parts came from the machine. The model can weigh those parts differently too. People become less likely to believe a contaminated entry, and the model becomes less likely to repeat it.

What it is

A signed record does not tell its reader who wrote it. When a practitioner signs a note that the system drafted, the next reader sees the practitioner's signature and assumes the practitioner's judgment. A provenance label keeps the difference visible, between what the practitioner wrote and what the practitioner signed.

What it pushes on in the Lab

In the Lab, this lever weakens two pathways out of the record store. People become less likely to read a contaminated record and believe it. The model becomes less likely to repeat a contaminated record as fresh output.

dampenedContaminated records read and believed
dampenedContaminated records repeated as fresh output

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:Provenance labeling

The pressures it answers

These pressures list this lever among the levers that answer them:

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:148

Every network that offers it

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.

Pull this lever in the PAN Lab and watch which way it pushes the network.

Open the PAN Lab