Digitale Integrität Principles
We define digital integrity as the verifiable alignment between a model's operational intent and its generated output. In the context of the Laboratory, this means every research project must document the "purity of input"—acknowledging the cultural and linguistic weights present in the latent manifold.
Responsible content production necessitates a clear distinction between factual data and synthetic inference. We do not support the use of generative models to simulate historical accuracy without prominent scientific disclosure.
Ethische Synthese Framework
CityInfo Generative Lab adheres to a multi-layered ethics framework designed to mitigate the risks associated with deep-level media synthesis.
Consent-First Ingestion
Prioritizing models trained on licensed or public domain data to respect the economic rights of human creators.
Provenance Marking
All Lab-produced assets include forensic metadata markers to identify their synthetic origin.
Data Stewardship & Lab Access
As a resource based in Calgary, AB, we operate under privacy laws that mandate the protection of user-contributed data. CityInfo Generative Lab does not utilize user-submitted prompts or personal assets to train third-party models without explicit research agreements.
Notice regarding freshness
These ethical guidelines were last reviewed and authenticated by our internal council on June 01, 2026.
