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Octopus Research Institute

Responsible research

Research integrity is a core requirement of this site, not an afterthought. This page sets out the principles we hold ourselves to and how each one shows up in the work.

Principles

  • 01

    Evidence before claims

    We publish a claim only when the evidence supports it, and we state plainly what that evidence is.

  • 02

    Reproducibility where practical

    Where practical we share the setup, data and code needed to reproduce a result.

  • 03

    Honest limitations

    Every research page states what it does not establish, as prominently as what it does.

  • 04

    Clear provenance

    Results are traceable to their inputs, methods, versions and the people responsible.

  • 05

    Community participation

    Work that touches a community is done with that community's participation and consent — not about them without them.

  • 06

    Privacy by default

    We minimise, redact and contain sensitive data; the default is to collect nothing we do not need.

  • 07

    Responsible release

    We release code, weights and data only when the licence, safety and consent conditions are met.

  • 08

    Transparent conflicts

    Commercial and other interests are disclosed on the page where they are relevant.

  • 09

    Human accountability

    A person, not a model, is accountable for every published decision.

  • 10

    Correction over concealment

    When we are wrong we correct the record openly rather than quietly editing it away.

How we practise it

Research integrity & reproducibility

Publications are versioned and carry documented methodology, contribution statements (CRediT) and canonical citation metadata. We do not fabricate authorship, results, citations, peer review or ethics approval. Where practical, evaluation setups and artefacts are shared so a result can be interpreted and reproduced.

Research integrity policy

Ethical research & community participation

Research that involves a community is shaped by that community's consent and governance. Our Auslan work is explicitly community-informed: any dataset or model would require informed, revocable consent and Deaf-community governance before it exists. We collect no human-subjects data through this website.

Auslan research & ethics

Privacy & data governance

We use no advertising or tracking cookies and no invasive analytics by default. Datasets carry explicit ownership, licence and access conditions; third-party data is used, not owned; community-governed data is subject to consent and takedown. We publish no personal, health or sign-language video data.

Data governance

Licensing & intellectual property

We display the exact licence for every released artefact and mark ‘Licence not yet confirmed’ where unresolved. Public access is not a public-domain dedication; a dataset is not ‘open’ when it has restrictions; non-commercial licences prohibit commercial use.

Licensing & IP

Conflicts of interest & funding

Octopus Research Institute receives infrastructure, engineering and funding from Octopus Core. Where a programme, publication or dataset touches an area in which Octopus Core has a commercial interest, that interest is disclosed on the relevant page. Findings, including negative results, are not altered to suit a funder.

Independence & funding

Responsible publication & release decisions

Preprints and non-peer-reviewed material are labelled as such. Model weights are not released unless a licence permits distribution; dataset downloads are not published without confirmed licensing. Metrics appear only where verified, with dataset and version context.

Model cards

Vulnerability disclosure & research misuse

Report a vulnerability to the security contact and allow reasonable time for remediation before public disclosure. We weigh the misuse potential of any release and withhold detail where the risk outweighs the benefit.

Security & disclosure

Corrections & retractions

We record corrections and retractions rather than concealing them. Publications are versioned and their version history is shown. If you believe something here is inaccurate, tell us and we will correct it and, where appropriate, publish a correction notice.

Corrections & retractions

Where this shows up in the work

These are not abstract values — they are encoded in how this site is built. Research statuses, disclosures, limitations and claim boundaries are first-class, and several are required by the content model rather than left optional. See the Responsible AI research area for the programmes behind them.

Responsible AI research