Limits to Verification and Validation of Agentic Behavior
š Description
Limits to Verification and Validation of Agentic Behavior David J. Jilk 1 Abstract Verification and validation of agentic behavior have been suggested as important research priorities in efforts to redu ce risks associated with the creation of general artificial intelligence (Russell et al 2015). In th is paper we question the appropriateness of using language of certainty with respect to e fforts to manage that risk. We begin by establishing a very general formalism to characterize agentic behavior and to describe standards of acceptable behavior. We show that determinati on of whether an agent meets any particular standard is not computable. We discuss the extent of the burden associated with verification by manual proof and by automated behav ioral governance. We show that to ensure decidability of the behavioral standard itself, one must further limit the capabilities of the agent. We then demonstrate that if our concerns relate to ou tcomes in th...
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Not verified in gameWhich variables this event was proposed to move, and in which direction. The magnitudes are held in the corpus but are not shown here, because they have not been verified against the shipped game. They come from pdoom-data. They describe what an event was proposed to do, not what the shipped game does with it. Most events in the corpus are flavour: they are shown for colour and do not move any game variable. Only a small minority reach the systems below, and several of the variables listed here are not read by the game at all yet. Treat this table as a design proposal under review, not as a measurement of play. Corrections and arguments are welcome — the suggestion links at the foot of this page go straight to the data repo.
| Variable | Direction | Condition |
|---|---|---|
| Research | proposed: up | Always |
| Papers | proposed: up | Always |
| Vibey Doom | proposed: up | Always |
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