Terms of use

This website

The content of rosadebias.com is provided for general information. It is not legal advice, and no statement on this site is a certification of compliance with any law or standard. Validation figures are published with their sources and scope; read them with their guardrails.

The free trial

The Rosa free trial is provided as-is, without warranty, during the trial phase. The shared instance applies fair-use limits (dataset sampling and caps, a monthly job quota, one job at a time). The free trial runs for up to three months per workspace; we may extend it on request, and we give notice before a trial ends. Do not submit data you are not entitled to process. We may suspend access that degrades the service for others. Free tiers may be amended or withdrawn with reasonable notice.

Outputs (debiased datasets, reports, manifests) are yours. The Rosa software, models, and methods remain ours. Dedicated proof-of-concept engagements are governed by their own written terms.

Rosa keeps an immutable Run Manifest for every job indefinitely as its permanent evidence record. The manifest records:

• Per-column statistics - for categorical columns the distinct values and their counts, and each column's number of categories; for numeric columns the minimum, maximum, and standard deviation.
• Bias-detection results - the discriminator's accuracy at recovering the protected attribute and the resulting bias score, plus the post-debiasing residual on training jobs; the significance of each (the p-value, the shuffled-label chance level, the permutation count and resolution, and the detection thresholds); and the measurement regime that records how the score was measured.
• Per-group figures - for each value of the protected attribute, its rows in the training sample and how well the detector picked it out, marked exploratory. If a group was too small for the detection test to run, the manifest names that group and its row count.
• The per-feature debiasing adjustment (diagnose jobs) - indicative of how much each column will be adjusted to remove the protected signal.
• Each feature's association with the protected attribute - its measured univariate association, and on training jobs that association recomputed on the debiased output.
• Advisory warnings (inference jobs) - for example a training category absent from the inference file, or a numeric column outside its training range, with the values or range concerned.
• Job metadata and content hashes - identifiers, status and any structured failure reason, timestamps, the Rosa version and container digest, the training job an inference model came from, the declared columns, the dataset's size before and after encoding, and SHA-256 hashes of the input (so anyone holding the original file can verify exactly what was processed), the schema, the configuration and every output.
• Operational metrics about the run, not your data - stage timings, peak memory, the number of engine attempts and the hardware it ran on.

It never holds the row-level data you submitted, the debiased output, or the trained model. By using the service you agree to this retention; keep direct identifiers (names, emails, customer IDs) out of the analysis as ignored columns so they are never recorded.

Liability

To the maximum extent permitted by law, Rosa's liability arising from use of this website or the free trial is excluded. Nothing in these terms limits liability that cannot lawfully be limited. These terms are governed by the law of England and Wales.

Contact

Questions: jason@rosadebias.com.