You Are in Control of Your State: Why Human Outcomes Are Controllable Through Causal State Intervention
A central puzzle for the behavioural sciences and for human-facing artificial intelligence is the persistence of within-person variability. The same individual, presented with the same observable input, produces different outcomes on different occasions, and different individuals produce divergent outcomes that no observable covariate fully predicts. We argue that this variability belongs in the dynamic latent state of the person, and that human outcomes are controllable in a precise and operational sense through interventions that target the state and its weighting at the moment a decision is being formed. We define a state as the time-indexed weighting vector over the dimensions that go...
| Authors | Suraj Biswas, Saurav Gupta, Pritam Mukherjee |
|---|---|
| Primary category | cs.AI |
| Published | 26 May 2026 |
| Last updated at source | 28 May 2026 |
Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.