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Drift/Fidelity Index

A measurement framework for evaluating whether systems remain aligned with real-world conditions.

Part of the Reality Drift Framework (2023–2026)


Overview

The Drift/Fidelity Index provides a structured way to assess whether decisions, metrics, and mediated representations remain grounded in the real-world environments they are meant to reflect.

Modern systems are extensively evaluated at the model level. Accuracy, benchmarks, and output quality are well measured.

What remains largely unmeasured is what happens after deployment.

Systems can continue functioning, improve performance metrics, and produce coherent outputs while gradually losing alignment with real-world conditions.

This framework addresses that gap.


Core Idea

Alignment is not only a property of models.

It is a property of systems over time.

The Drift/Fidelity Index evaluates whether optimization, abstraction, and mediation cause systems to drift away from the realities they are meant to represent.


Dimensions

  • Constraint Integrity
  • Representational Fidelity
  • Experiential Grounding
  • Cognitive and Organizational Impact

Scope

This is not a benchmark or model evaluation dataset.

It is a structural framework for assessing:

  • post-deployment behavior
  • real-world alignment
  • system-level drift under optimization

Part of the Reality Drift framework (2023–2026) by A. Jacobs

Core framework and sources

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