ETHRAEON Apps

BiasWatch

Constitutional fairness and bias benchmarking

In development - preview

Purpose

BiasWatch is a bias-benchmarking and fairness capability built on the ETHRAEON constitutional runtime and evidence control layer. It evaluates AI behavior against constitutional fairness criteria and records the result as evidence, so that a fairness check is something you can examine and replay, not an opaque score you have to trust.

What it does

Constitutional criteria

Evaluates model behavior against an explicit set of fairness and constitutional-compliance criteria, not against an undocumented heuristic.

Evidence-anchored

Every check emits a record to the evidence layer, so a result can be traced to the inputs and criteria that produced it.

Periodic checks

Runs scheduled benchmark passes rather than a continuous stream. A check is dated, recorded, and reviewable.

Human oversight

BiasWatch provides evidence for a human reviewer. It does not assign opaque labels or take action on its own.

Principles

No opaque scores - A fairness finding is shown with the criteria and inputs behind it, never as a bare number.
Evidence over assertion - Results are recorded and replayable, in keeping with the ETHRAEON runtime's evidence model.
Human in the loop - The tool informs a reviewer; it does not adjudicate or intervene without oversight.
Built for governance - Designed to support constitutional compliance review, not to publish rankings of third-party systems.

Technical approach

BiasWatch is built as a benchmarking engine in Rust and Python, integrated with the ETHRAEON constitutional runtime so that every fairness check is explainable and traceable to its inputs.

Interested in BiasWatch for your governance or compliance review? Request early access.

Request early access

BiasWatch is part of ETHRAEON's mission to make the behavior of intelligent systems examinable, evidenced, and governed. Fairness is treated as something to be evidenced, not asserted.

Humanitas ante Machinam.